From 003f2282e18d4053939c4180e6b578c8ff30f22a Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:47:40 +0530 Subject: [PATCH 01/20] Add files via upload --- application/.cproject | 461 +++ application/.project | 3545 ++++++++++++++++++++ application/.projectlinkstore | 1 + application/app.c | 26 + application/app.h | 26 + application/main.c | 43 + application/ml_voice_control_light.pintool | 10 + application/ml_voice_control_light.slcp | 84 + application/ml_voice_control_light.slps | 17 + application/readme.md | 34 + application/recognize_commands.cc | 95 + application/recognize_commands.h | 174 + application/voice_control_light.cc | 192 ++ application/voice_control_light.h | 33 + 14 files changed, 4741 insertions(+) create mode 100644 application/.cproject create mode 100644 application/.project create mode 100644 application/.projectlinkstore create mode 100644 application/app.c create mode 100644 application/app.h create mode 100644 application/main.c create mode 100644 application/ml_voice_control_light.pintool create mode 100644 application/ml_voice_control_light.slcp create mode 100644 application/ml_voice_control_light.slps create mode 100644 application/readme.md create mode 100644 application/recognize_commands.cc create mode 100644 application/recognize_commands.h create mode 100644 application/voice_control_light.cc create mode 100644 application/voice_control_light.h diff --git a/application/.cproject b/application/.cproject new file mode 100644 index 0000000..2764219 --- /dev/null +++ b/application/.cproject @@ -0,0 +1,461 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/application/.project b/application/.project new file mode 100644 index 0000000..535d296 --- /dev/null +++ b/application/.project @@ -0,0 +1,3545 @@ + + + ml_voice_control_light + + + + + + com.silabs.ss.framework.ide.project.sls.core.slsResourceBuilder + + + + + org.eclipse.cdt.managedbuilder.core.genmakebuilder + clean,full,incremental, + + + + + org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder + full,incremental, + + + + + + org.eclipse.cdt.core.cnature + com.silabs.ss.framework.ide.project.sls.core.SLSProjectNature + org.eclipse.cdt.managedbuilder.core.managedBuildNature + org.eclipse.cdt.managedbuilder.core.ScannerConfigNature + org.eclipse.cdt.core.ccnature + + + + aiml_2.1.2/inc/dsp/sl_ml_fft.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/inc/dsp/sl_ml_fft.h + + + aiml_2.1.2/inc/tflite/sl_tflite_micro_debug_log.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/inc/tflite/sl_tflite_micro_debug_log.h + + + aiml_2.1.2/inc/tflite/sl_tflite_micro_init.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/inc/tflite/sl_tflite_micro_init.h + + + aiml_2.1.2/microfrontend/lib/activity_detection.c + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection.c + + + aiml_2.1.2/microfrontend/lib/activity_detection.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection.h + + + aiml_2.1.2/microfrontend/lib/activity_detection_util.c + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection_util.c + + + aiml_2.1.2/microfrontend/lib/activity_detection_util.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection_util.h + + + aiml_2.1.2/microfrontend/lib/bits.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/bits.h + + + aiml_2.1.2/microfrontend/lib/dc_notch_filter.c + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/dc_notch_filter.c + + + aiml_2.1.2/microfrontend/lib/dc_notch_filter.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/dc_notch_filter.h + + + aiml_2.1.2/microfrontend/lib/dc_notch_filter_util.c + 1 + STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/dc_notch_filter_util.c + + + aiml_2.1.2/microfrontend/lib/dc_notch_filter_util.h + 1 + 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STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/depthwiseconv_float.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/depthwiseconv_uint8.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/depthwiseconv_uint8.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/dequantize.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/dequantize.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/div.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/div.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/elu.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/elu.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/exp.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/exp.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/fill.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/fill.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/floor.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/floor.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/floor_div.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/floor_div.h + + + 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STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/maximum_minimum.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/mul.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/mul.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/neg.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/neg.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pad.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pad.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pooling.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pooling.h + + + 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STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/sub.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/tanh.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/tanh.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose_conv.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose_conv.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/softmax.cc + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/softmax.cc + + 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STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/logistic.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mean.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mean.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mul.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mul.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/pooling.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/pooling.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h + + + aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/transpose_conv.h + 1 + STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/transpose_conv.h + + + diff --git a/application/.projectlinkstore b/application/.projectlinkstore new file mode 100644 index 0000000..2120a02 --- /dev/null +++ b/application/.projectlinkstore @@ -0,0 +1 @@ +{"data":[{"hit":0,"alias":"app.c","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/app.c"},{"hit":0,"alias":"main.c","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/main.c"},{"hit":0,"alias":"readme.md","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/readme.md"},{"hit":0,"alias":"Post Build Editor","type":"TOOL","data":"postbuildeditor"},{"hit":0,"alias":"Pin Tool","type":"TOOL","data":"pintool"},{"hit":0,"alias":"Memory Editor","type":"TOOL","data":"memoryeditor"},{"hit":0,"alias":"Software Components","type":"NAVIGATION","data":"softwarecomponents"},{"hit":0,"alias":"docs.silabs.com","type":"EXTERNAL_URL","data":"https://docs.silabs.com/"}]} \ No newline at end of file diff --git a/application/app.c b/application/app.c new file mode 100644 index 0000000..7ee4f02 --- /dev/null +++ b/application/app.c @@ -0,0 +1,26 @@ +/***************************************************************************//** + * @file + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ +#include "app.h" +#include "voice_control_light.h" + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void app_init(void) +{ + voice_control_light_init(); +} diff --git a/application/app.h b/application/app.h new file mode 100644 index 0000000..634d5e9 --- /dev/null +++ b/application/app.h @@ -0,0 +1,26 @@ +/***************************************************************************//** + * @file app.h + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ + +#ifndef APP_H +#define APP_H + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void app_init(void); + +#endif // APP_H diff --git a/application/main.c b/application/main.c new file mode 100644 index 0000000..88f4efa --- /dev/null +++ b/application/main.c @@ -0,0 +1,43 @@ +/***************************************************************************//** + * @file main.c + * @brief main() function. + ******************************************************************************* + * # License + * Copyright 2025 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * SPDX-License-Identifier: Zlib + * + * The licensor of this software is Silicon Laboratories Inc. + * + * This software is provided 'as-is', without any express or implied + * warranty. In no event will the authors be held liable for any damages + * arising from the use of this software. + * + * Permission is granted to anyone to use this software for any purpose, + * including commercial applications, and to alter it and redistribute it + * freely, subject to the following restrictions: + * + * 1. The origin of this software must not be misrepresented; you must not + * claim that you wrote the original software. If you use this software + * in a product, an acknowledgment in the product documentation would be + * appreciated but is not required. + * 2. Altered source versions must be plainly marked as such, and must not be + * misrepresented as being the original software. + * 3. This notice may not be removed or altered from any source distribution. + * + ******************************************************************************/ +#include "sl_main_init.h" +#include "sl_main_kernel.h" + +int main(void) +{ + // Initialize Silicon Labs device, system, service(s) and protocol stack(s). + sl_main_second_stage_init(); + + app_init(); + + while (sl_main_start_task_should_continue()) { + app_process_action(); + } +} diff --git a/application/ml_voice_control_light.pintool b/application/ml_voice_control_light.pintool new file mode 100644 index 0000000..728003a --- /dev/null +++ b/application/ml_voice_control_light.pintool @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/application/ml_voice_control_light.slcp b/application/ml_voice_control_light.slcp new file mode 100644 index 0000000..92edae3 --- /dev/null +++ b/application/ml_voice_control_light.slcp @@ -0,0 +1,84 @@ +# Silicon Labs Project Configuration Tools: slcp, v0, Component selection file. +project_name: ml_voice_control_light +label: ml_voice_control_light +description: | + This application uses TensorFlow Lite for Microcontrollers to detect the spoken words "on" and "off" from audio data recorded on the microphone in a Micrium OS kernel task. The detected keywords are used to control an LED on the board. +category: AI/ML Application +filter: +- name: Capability + value: [Machine Learning] +- name: Device Type + value: [SoC] +- name: MCU + value: [32-bit MCU] +- name: Project Difficulty + value: [Advanced] +package: aiml +quality: production +readme: +- {path: readme.md} +- {path: readme.md} +source: +- {path: app.c} +- {path: voice_control_light.cc} +- {path: recognize_commands.cc} +tag: ['hardware:device:flash:130', 'hardware:device:ram:128', 'hardware:component:microphone', + 'hardware:component:led:1+'] +include: +- path: . + file_list: + - {path: app.h} + - {path: voice_control_light.h} + - {path: recognize_commands.h} +sdk: {id: simplicity_sdk, version: 2025.6.2} +toolchain_settings: +- {value: -Wno-unused-parameter, option: gcc_compiler_option} +- {value: -Wno-missing-field-initializers, option: gcc_compiler_option} +component: +- {from: aiml, id: ml_audio_feature_generation} +- {from: aiml, id: tensorflow_debug_log_iostream} +- {from: aiml, id: tensorflow_lite_micro} +- {from: aiml, id: tensorflow_lite_micro_accelerated_kernels} +- {from: aiml, id: tensorflow_lite_micro_optimized_kernels} +- {id: EFR32MG26B510F3200IM68} +- {id: brd2608a} +- {id: clock_manager} +- {id: device_init} +- {id: iostream_recommended_stream} +- {id: iostream_retarget_stdio} +- {id: memory_manager} +- {id: micriumos_kernel} +- {id: power_manager} +- {id: printf} +- instance: [led0] + id: simple_led +- {id: sl_main} +- {id: sleeptimer} +- {id: status} +define: +- {name: DEBUG_EFM} +- {name: TF_LITE_STATIC_MEMORY} +config_file: +- {path: config/recognize_commands_config.h} +- {path: config/tflite/keyword_spotting_on_off_v2.tflite, directory: tflite} +configuration: +- {name: SL_BOARD_ENABLE_VCOM, value: '1'} +- {name: SL_BOARD_ENABLE_SENSOR_MICROPHONE, value: '1'} +- condition: [iostream_usart] + name: SL_IOSTREAM_USART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF + value: '1' +- condition: [iostream_uart] + name: SL_IOSTREAM_UART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF + value: '1' +- {name: SL_ML_AUDIO_FEATURE_GENERATION_AUDIO_BUFFER_SIZE, value: '4096'} +- {name: SL_TFLITE_MICRO_ARENA_SIZE, value: '100000'} +- {name: SL_HEAP_SIZE, value: '8192'} +- condition: [tensorflow_lite_micro_accelerated_kernels] + name: SL_MVP_OPTIMIZE_SPEED + value: '1' +ui_hints: + highlight: + - {path: readme.md, focus: true} +sdk_extension: +- {id: aiml, version: 2.1.2} + diff --git a/application/ml_voice_control_light.slps b/application/ml_voice_control_light.slps new file mode 100644 index 0000000..523135b --- /dev/null +++ b/application/ml_voice_control_light.slps @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/application/readme.md b/application/readme.md new file mode 100644 index 0000000..b908bb5 --- /dev/null +++ b/application/readme.md @@ -0,0 +1,34 @@ +# Voice Control Light +This application uses TensorFlow Lite for Microcontrollers to detect the spoken +words "on" and "off" from audio data recorded on the microphone. The detected +keywords are used to control an LED on the board. + +Audio is sampled continuously from the microphone at a rate of 8kHz. The +frequency components are then extracted by calculating the FFT on short segments +of audio as they become available. The result is an array of filterbanks, +representing the frequency components of the past second of audio. The processed +audio data is passed into a neural network at an interval of 200 ms. If the +model detects that either of the keywords "on" or "off" were spoken, LED0 will +toggle accordingly and the keyword detection result is printed on VCOM. + +The application is based on TensorFlow's example application, **[micro speech](https://github.com/tensorflow/tensorflow/tree/v2.3.1/tensorflow/lite/micro/examples/micro_speech)**. + +## Model +The application uses one of two different available models +(```keyword_spotting_on_off.tflite``` or ```keyword_spotting_on_off_v2.tflite```) +as the default model, depending on whether the application is generated for a +development board featuring an MVP hardware accelerator or not. When an MVP +hardware accelerator is featured on the board, inference will run at a faster +speed such that a larger model can be chosen, yielding more accurate keyword +detections. + +The neural network model has been trained to identify the two keywords "on" and +"off" from preprocessed audio data. When neither words are recognized, the model +will classify the input as either "unknown" or "background". The model takes an +array of filterbanks as input and outputs a vector with each value corresponding +to the probability that the input belongs to each of the +categories. + +Details about the model architectures and scripts for generating the models can +be found in the [Silicon Labs machine learning applications](https://github.com/SiliconLabs/machine_learning_applications/tree/main/) repository, under +```application/voice/keyword_spotting/model```. diff --git a/application/recognize_commands.cc b/application/recognize_commands.cc new file mode 100644 index 0000000..c57a694 --- /dev/null +++ b/application/recognize_commands.cc @@ -0,0 +1,95 @@ +/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + + This file has been modified by Silicon Labs. + ==============================================================================*/ + +#include "recognize_commands.h" + +#include + +// Labels used by the Voice Control tflite model +// 0 - on +// 1 - off +// 2 - unknown +// 3 - background +const char* kCategoryLabels[kMaxCategoryCount] = { + "on", + "off", + "unknown", + "background", +}; + +RecognizeCommands::RecognizeCommands(tflite::ErrorReporter* error_reporter, + uint8_t detection_threshold, + int32_t suppression_ms) + : error_reporter_(error_reporter), + detection_threshold_(detection_threshold), + suppression_ms_(suppression_ms), + previous_results_(error_reporter) +{ + previous_top_label_index_ = 3; // "background" + previous_top_label_time_ = std::numeric_limits < int32_t > ::min(); +} + +TfLiteStatus RecognizeCommands::ProcessLatestResults( + const TfLiteTensor* latest_results, const int32_t current_time_ms, + uint8_t* found_command_index, uint8_t* score, bool* is_new_command) +{ + +uint8_t category_count = latest_results->dims->data[1]; +int8_t current_top_index = 0; +int32_t current_top_score = 0; +uint8_t converted_scores[kMaxCategoryCount]; + +// Convert the model output to uint8 +if (latest_results->type == kTfLiteInt8) { + for(int i = 0; i < category_count; ++i) { + converted_scores[i] = (uint8_t)(latest_results->data.int8[i] + 128); + } + } else { + TF_LITE_REPORT_ERROR(error_reporter_, "Unsupported output tensor data type, must be int8 or float32"); + return kTfLiteError; + } + + for (int i = 0; i < category_count; i++) { + if (converted_scores[i] > current_top_score) { + current_top_score = converted_scores[i]; + current_top_index = i; + } + } + + // If we've recently had another label trigger, assume one that occurs too + // soon afterwards is a bad result. + int64_t time_since_last_top; + if ((previous_top_label_index_ == 3 || previous_top_label_index_ == 2) + || (previous_top_label_time_ == std::numeric_limits < int32_t > ::min())) { + time_since_last_top = std::numeric_limits < int32_t > ::max(); + // Reset timer if detecting background / unknown + } else { + time_since_last_top = current_time_ms - previous_top_label_time_; + } + + if ((current_top_score > detection_threshold_) && (time_since_last_top > suppression_ms_)) { + previous_top_label_index_ = current_top_index; + previous_top_label_time_ = current_time_ms; + *is_new_command = true; + } else { + *is_new_command = false; + } + + *found_command_index = current_top_index; + *score = current_top_score; + return kTfLiteOk; +} diff --git a/application/recognize_commands.h b/application/recognize_commands.h new file mode 100644 index 0000000..0771f23 --- /dev/null +++ b/application/recognize_commands.h @@ -0,0 +1,174 @@ +/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + + This file has been modified by Silicon Labs. + ==============================================================================*/ + +#ifndef MODEL_RECOGNIZE_COMMANDS_H_ +#define MODEL_RECOGNIZE_COMMANDS_H_ + +#include + +#include "tensorflow/lite/c/common.h" +#include "tensorflow/lite/micro/tflite_bridge/micro_error_reporter.h" + +constexpr int kMaxCategoryCount = 4; +extern const char* kCategoryLabels[kMaxCategoryCount]; + +// Partial implementation of std::dequeue, just providing the functionality +// that's needed to keep a record of previous neural network results over a +// short time period, so they can be averaged together to produce a more +// accurate overall prediction. This doesn't use any dynamic memory allocation +// so it's a better fit for microcontroller applications, but this does mean +// there are hard limits on the number of results it can store. +class PreviousResultsQueue { +public: + PreviousResultsQueue(tflite::ErrorReporter * error_reporter) + : error_reporter_(error_reporter), front_index_(0), size_(0) { + } + + // Data structure that holds an inference result, and the time when it + // was recorded. + struct Result { + Result() : time_(0), scores() { + } + Result(int32_t time, int8_t * input_scores) : time_(time) { + for (int i = 0; i < kMaxCategoryCount; ++i) { + scores[i] = input_scores[i]; + } + } + int32_t time_; + int8_t scores[kMaxCategoryCount]; + }; + + int size() + { + return size_; + } + bool empty() + { + return size_ == 0; + } + Result& front() + { + return results_[front_index_]; + } + Result& back() + { + int back_index = front_index_ + (size_ - 1); + if (back_index >= kMaxResults) { + back_index -= kMaxResults; + } + return results_[back_index]; + } + + void push_back(const Result& entry) + { + if (size() >= kMaxResults) { + TF_LITE_REPORT_ERROR( + error_reporter_, + "Couldn't push_back latest result, too many already!"); + return; + } + size_ += 1; + back() = entry; + } + + Result pop_front() + { + if (size() <= 0) { + TF_LITE_REPORT_ERROR(error_reporter_, + "Couldn't pop_front result, none present!"); + return Result(); + } + Result result = front(); + front_index_ += 1; + if (front_index_ >= kMaxResults) { + front_index_ = 0; + } + size_ -= 1; + return result; + } + + // Most of the functions are duplicates of dequeue containers, but this + // is a helper that makes it easy to iterate through the contents of the + // queue. + Result& from_front(int offset) + { + if ((offset < 0) || (offset >= size_)) { + TF_LITE_REPORT_ERROR(error_reporter_, + "Attempt to read beyond the end of the queue!"); + offset = size_ - 1; + } + int index = front_index_ + offset; + if (index >= kMaxResults) { + index -= kMaxResults; + } + return results_[index]; + } + +private: + tflite::ErrorReporter* error_reporter_; + static constexpr int kMaxResults = 50; + Result results_[kMaxResults]; + + int front_index_; + int size_; +}; + +// This class is designed to apply a very primitive decoding model on top of the +// instantaneous results from running an audio recognition model on a single +// window of samples. It applies smoothing over time so that noisy individual +// label scores are averaged, increasing the confidence that apparent matches +// are real. +// To use it, you should create a class object with the configuration you +// want, and then feed results from running a TensorFlow model into the +// processing method. The timestamp for each subsequent call should be +// increasing from the previous, since the class is designed to process a stream +// of data over time. +class RecognizeCommands { +public: + // labels should be a list of the strings associated with each one-hot score. + // The window duration controls the smoothing. Longer durations will give a + // higher confidence that the results are correct, but may miss some commands. + // The detection threshold has a similar effect, with high values increasing + // the precision at the cost of recall. The minimum count controls how many + // results need to be in the averaging window before it's seen as a reliable + // average. This prevents erroneous results when the averaging window is + // initially being populated for example. The suppression argument disables + // further recognitions for a set time after one has been triggered, which can + // help reduce spurious recognitions. + explicit RecognizeCommands(tflite::ErrorReporter* error_reporter, + uint8_t detection_threshold, + int32_t suppression_ms); + + // Call this with the results of running a model on sample data. + TfLiteStatus ProcessLatestResults(const TfLiteTensor* latest_results, + const int32_t current_time_ms, + uint8_t* found_command_index, uint8_t* score, + bool* is_new_command); + +private: + // Configuration + tflite::ErrorReporter* error_reporter_; + uint8_t detection_threshold_; + int32_t suppression_ms_; + + // Working variables + PreviousResultsQueue previous_results_; + uint8_t previous_top_label_index_; + int32_t previous_top_label_time_; +}; + +#endif // MODEL_RECOGNIZE_COMMANDS_H_ diff --git a/application/voice_control_light.cc b/application/voice_control_light.cc new file mode 100644 index 0000000..ba6556e --- /dev/null +++ b/application/voice_control_light.cc @@ -0,0 +1,192 @@ +/***************************************************************************//** + * @file + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ +#include "os.h" +#include "sl_power_manager.h" +#include "sl_status.h" +#include "sl_led.h" +#include "sl_simple_led_instances.h" +#include "voice_control_light.h" +#include "recognize_commands.h" +#include "recognize_commands_config.h" +#include "sl_tflite_micro_model.h" +#include "sl_tflite_micro_init.h" +#include "sl_ml_audio_feature_generation.h" +#include "sl_sleeptimer.h" + +/******************************************************************************* + ******************************* DEFINES *********************************** + ******************************************************************************/ +#ifndef INFERENCE_INTERVAL_MS +#define INFERENCE_INTERVAL_MS 200 +#endif + +#ifndef TASK_STACK_SIZE +#define TASK_STACK_SIZE 512 +#endif + +#ifndef TASK_PRIORITY +#define TASK_PRIORITY 20 +#endif + +/******************************************************************************* + *************************** LOCAL VARIABLES ******************************** + ******************************************************************************/ + +// Pointer to RecognizeCommands object for handling recognitions. +static RecognizeCommands *command_recognizer = nullptr; + +// Micrium task control block +static OS_TCB tcb; + +// Micrium task stack +static CPU_STK stack[TASK_STACK_SIZE]; + +/******************************************************************************* + ************************** LOCAL FUNCTIONS ******************************* + ******************************************************************************/ + +// Application task +static void voice_control_light_task(void *arg); + +/***************************************************************************//** + * Run model inference + * + * Copies the currently available data from the feature_buffer into the input + * tensor and runs inference, updating the global output_tensor. + ******************************************************************************/ +static sl_status_t run_inference() +{ + // Update model input tensor + sl_status_t status = sl_ml_audio_feature_generation_fill_tensor(sl_tflite_micro_get_input_tensor()); + if (status != SL_STATUS_OK){ + return SL_STATUS_FAIL; + } + // Run the model on the spectrogram input and make sure it succeeds. + TfLiteStatus invoke_status = sl_tflite_micro_get_interpreter()->Invoke(); + if (invoke_status != kTfLiteOk) { + return SL_STATUS_FAIL; + } + + return SL_STATUS_OK; +} + + +/***************************************************************************//** + * Processes the output from a model inference + ******************************************************************************/ +static sl_status_t process_output(){ + // Determine whether a command was recognized based on the output of inference + uint8_t found_command_index = 0; + uint8_t score = 0; + bool is_new_command = false; + uint32_t current_time_stamp; + + // Get current time stamp needed by CommandRecognizer + current_time_stamp = sl_sleeptimer_tick_to_ms(sl_sleeptimer_get_tick_count()); + + // Perform post processing and filtering of the model output to get a labeled output with a score value. + TfLiteStatus process_status = command_recognizer->ProcessLatestResults( + sl_tflite_micro_get_output_tensor(), current_time_stamp, &found_command_index, &score, &is_new_command); + + if (process_status != kTfLiteOk) { + return SL_STATUS_FAIL; + } + + if (is_new_command) { + // Print heard command + if (found_command_index == 0){ + // command = "on" + sl_led_turn_on(&sl_led_led0); + printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index], + score, current_time_stamp); + } else if (found_command_index == 1){ + // command = "off" + sl_led_turn_off(&sl_led_led0); + printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index], + score, current_time_stamp); + } + } + + return SL_STATUS_OK; +} + + +/******************************************************************************* + ************************** GLOBAL FUNCTIONS ******************************* + ******************************************************************************/ + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void voice_control_light_init(void) +{ + + RTOS_ERR err; + + // Create Application Task + char task_name[] = "voice control light task"; + OSTaskCreate(&tcb, + task_name, + voice_control_light_task, + DEF_NULL, + TASK_PRIORITY, + &stack[0], + (TASK_STACK_SIZE / 10u), + TASK_STACK_SIZE, + 0u, + 0u, + DEF_NULL, + (OS_OPT_TASK_STK_CLR), + &err); + + EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE)); +} + +/***************************************************************************//** + * Voice control light task + ******************************************************************************/ +void voice_control_light_task(void *arg) +{ + RTOS_ERR err; + (void)&arg; + + printf("Voice Control Light\r\n"); + printf(" threshold=%d\r\n", DETECTION_THRESHOLD); + printf(" suppression time=%d ms\r\n", SUPPRESSION_TIME_MS); + printf("Listening for keywords...\r\n"); + sl_ml_audio_feature_generation_init(); + + // Instantiate CommandRecognizer + static RecognizeCommands static_recognizer(sl_tflite_micro_get_error_reporter(), + DETECTION_THRESHOLD, + SUPPRESSION_TIME_MS); + command_recognizer = &static_recognizer; + + // Add EM1 requirement to allow microphone sampling + sl_power_manager_add_em_requirement(SL_POWER_MANAGER_EM1); + + while (1) { + // Wait INFERENCE_INTERVAL_MS ms + OSTimeDlyHMSM(0, 0, 0, INFERENCE_INTERVAL_MS, OS_OPT_TIME_PERIODIC, &err); + EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE)); + + // Perform a word detection + sl_ml_audio_feature_generation_update_features(); + run_inference(); + process_output(); + } +} \ No newline at end of file diff --git a/application/voice_control_light.h b/application/voice_control_light.h new file mode 100644 index 0000000..0628925 --- /dev/null +++ b/application/voice_control_light.h @@ -0,0 +1,33 @@ +/***************************************************************************//** + * @file + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ +#ifndef VOICE_CONTROL_LIGHT_H +#define VOICE_CONTROL_LIGHT_H + +#ifdef __cplusplus +extern "C" { +#endif + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void voice_control_light_init(void); + +#ifdef __cplusplus +} +#endif + +#endif // VOICE_CONTROL_LIGHT_H From 5b241d93cb12fbab6a1d8b77ab0c067d57fd0f2f Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:52:13 +0530 Subject: [PATCH 02/20] Delete application/app.c --- application/app.c | 26 -------------------------- 1 file changed, 26 deletions(-) delete mode 100644 application/app.c diff --git a/application/app.c b/application/app.c deleted file mode 100644 index 7ee4f02..0000000 --- a/application/app.c +++ /dev/null @@ -1,26 +0,0 @@ -/***************************************************************************//** - * @file - * @brief Top level application functions - ******************************************************************************* - * # License - * Copyright 2021 Silicon Laboratories Inc. www.silabs.com - ******************************************************************************* - * - * The licensor of this software is Silicon Laboratories Inc. Your use of this - * software is governed by the terms of Silicon Labs Master Software License - * Agreement (MSLA) available at - * www.silabs.com/about-us/legal/master-software-license-agreement. This - * software is distributed to you in Source Code format and is governed by the - * sections of the MSLA applicable to Source Code. - * - ******************************************************************************/ -#include "app.h" -#include "voice_control_light.h" - -/***************************************************************************//** - * Initialize application. - ******************************************************************************/ -void app_init(void) -{ - voice_control_light_init(); -} From 57fe9cb72cc3a19c2f77679b08685f6c71c30aea Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:52:28 +0530 Subject: [PATCH 03/20] Delete application/.cproject --- application/.cproject | 461 ------------------------------------------ 1 file changed, 461 deletions(-) delete mode 100644 application/.cproject diff --git a/application/.cproject b/application/.cproject deleted file mode 100644 index 2764219..0000000 --- a/application/.cproject +++ /dev/null @@ -1,461 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file From 87f9e47aff55cb1c2faa2a3d9fce43d656c41db3 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:52:46 +0530 Subject: [PATCH 04/20] Delete application/.project --- application/.project | 3545 ------------------------------------------ 1 file changed, 3545 deletions(-) delete mode 100644 application/.project diff --git a/application/.project b/application/.project deleted file mode 100644 index 535d296..0000000 --- a/application/.project +++ /dev/null @@ -1,3545 +0,0 @@ - - - ml_voice_control_light - - - - - - com.silabs.ss.framework.ide.project.sls.core.slsResourceBuilder - - - - - org.eclipse.cdt.managedbuilder.core.genmakebuilder - clean,full,incremental, - - - - - org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder - full,incremental, - - - - - - org.eclipse.cdt.core.cnature - com.silabs.ss.framework.ide.project.sls.core.SLSProjectNature - 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- - aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h - 1 - STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h - - - aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/transpose_conv.h - 1 - STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/transpose_conv.h - - - From 6f53a8e628a81fe3e39043030aa5cec45f06c0c3 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:52:58 +0530 Subject: [PATCH 05/20] Delete application/.projectlinkstore --- application/.projectlinkstore | 1 - 1 file changed, 1 deletion(-) delete mode 100644 application/.projectlinkstore diff --git a/application/.projectlinkstore b/application/.projectlinkstore deleted file mode 100644 index 2120a02..0000000 --- a/application/.projectlinkstore +++ /dev/null @@ -1 +0,0 @@ -{"data":[{"hit":0,"alias":"app.c","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/app.c"},{"hit":0,"alias":"main.c","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/main.c"},{"hit":0,"alias":"readme.md","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/readme.md"},{"hit":0,"alias":"Post Build Editor","type":"TOOL","data":"postbuildeditor"},{"hit":0,"alias":"Pin Tool","type":"TOOL","data":"pintool"},{"hit":0,"alias":"Memory Editor","type":"TOOL","data":"memoryeditor"},{"hit":0,"alias":"Software Components","type":"NAVIGATION","data":"softwarecomponents"},{"hit":0,"alias":"docs.silabs.com","type":"EXTERNAL_URL","data":"https://docs.silabs.com/"}]} \ No newline at end of file From 14f51349588eb98220caa4344cea443be37d7f86 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:53:17 +0530 Subject: [PATCH 06/20] Delete application/app.h --- application/app.h | 26 -------------------------- 1 file changed, 26 deletions(-) delete mode 100644 application/app.h diff --git a/application/app.h b/application/app.h deleted file mode 100644 index 634d5e9..0000000 --- a/application/app.h +++ /dev/null @@ -1,26 +0,0 @@ -/***************************************************************************//** - * @file app.h - * @brief Top level application functions - ******************************************************************************* - * # License - * Copyright 2021 Silicon Laboratories Inc. www.silabs.com - ******************************************************************************* - * - * The licensor of this software is Silicon Laboratories Inc. Your use of this - * software is governed by the terms of Silicon Labs Master Software License - * Agreement (MSLA) available at - * www.silabs.com/about-us/legal/master-software-license-agreement. This - * software is distributed to you in Source Code format and is governed by the - * sections of the MSLA applicable to Source Code. - * - ******************************************************************************/ - -#ifndef APP_H -#define APP_H - -/***************************************************************************//** - * Initialize application. - ******************************************************************************/ -void app_init(void); - -#endif // APP_H From 4aa9e51a058dadafb7642e988e0e5f65e67e485b Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:53:32 +0530 Subject: [PATCH 07/20] Delete application/main.c --- application/main.c | 43 ------------------------------------------- 1 file changed, 43 deletions(-) delete mode 100644 application/main.c diff --git a/application/main.c b/application/main.c deleted file mode 100644 index 88f4efa..0000000 --- a/application/main.c +++ /dev/null @@ -1,43 +0,0 @@ -/***************************************************************************//** - * @file main.c - * @brief main() function. - ******************************************************************************* - * # License - * Copyright 2025 Silicon Laboratories Inc. www.silabs.com - ******************************************************************************* - * - * SPDX-License-Identifier: Zlib - * - * The licensor of this software is Silicon Laboratories Inc. - * - * This software is provided 'as-is', without any express or implied - * warranty. In no event will the authors be held liable for any damages - * arising from the use of this software. - * - * Permission is granted to anyone to use this software for any purpose, - * including commercial applications, and to alter it and redistribute it - * freely, subject to the following restrictions: - * - * 1. The origin of this software must not be misrepresented; you must not - * claim that you wrote the original software. If you use this software - * in a product, an acknowledgment in the product documentation would be - * appreciated but is not required. - * 2. Altered source versions must be plainly marked as such, and must not be - * misrepresented as being the original software. - * 3. This notice may not be removed or altered from any source distribution. - * - ******************************************************************************/ -#include "sl_main_init.h" -#include "sl_main_kernel.h" - -int main(void) -{ - // Initialize Silicon Labs device, system, service(s) and protocol stack(s). - sl_main_second_stage_init(); - - app_init(); - - while (sl_main_start_task_should_continue()) { - app_process_action(); - } -} From 20e8278c3d176ba0b83ad2ccac116d50cc1bcd79 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:53:51 +0530 Subject: [PATCH 08/20] Delete application/ml_voice_control_light.pintool --- application/ml_voice_control_light.pintool | 10 ---------- 1 file changed, 10 deletions(-) delete mode 100644 application/ml_voice_control_light.pintool diff --git a/application/ml_voice_control_light.pintool b/application/ml_voice_control_light.pintool deleted file mode 100644 index 728003a..0000000 --- a/application/ml_voice_control_light.pintool +++ /dev/null @@ -1,10 +0,0 @@ - - - - - - - - - - From 48d67fbc9905e826cce112914b21e970b6bf6b11 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:54:02 +0530 Subject: [PATCH 09/20] Delete application/ml_voice_control_light.slcp --- application/ml_voice_control_light.slcp | 84 ------------------------- 1 file changed, 84 deletions(-) delete mode 100644 application/ml_voice_control_light.slcp diff --git a/application/ml_voice_control_light.slcp b/application/ml_voice_control_light.slcp deleted file mode 100644 index 92edae3..0000000 --- a/application/ml_voice_control_light.slcp +++ /dev/null @@ -1,84 +0,0 @@ -# Silicon Labs Project Configuration Tools: slcp, v0, Component selection file. -project_name: ml_voice_control_light -label: ml_voice_control_light -description: | - This application uses TensorFlow Lite for Microcontrollers to detect the spoken words "on" and "off" from audio data recorded on the microphone in a Micrium OS kernel task. The detected keywords are used to control an LED on the board. -category: AI/ML Application -filter: -- name: Capability - value: [Machine Learning] -- name: Device Type - value: [SoC] -- name: MCU - value: [32-bit MCU] -- name: Project Difficulty - value: [Advanced] -package: aiml -quality: production -readme: -- {path: readme.md} -- {path: readme.md} -source: -- {path: app.c} -- {path: voice_control_light.cc} -- {path: recognize_commands.cc} -tag: ['hardware:device:flash:130', 'hardware:device:ram:128', 'hardware:component:microphone', - 'hardware:component:led:1+'] -include: -- path: . - file_list: - - {path: app.h} - - {path: voice_control_light.h} - - {path: recognize_commands.h} -sdk: {id: simplicity_sdk, version: 2025.6.2} -toolchain_settings: -- {value: -Wno-unused-parameter, option: gcc_compiler_option} -- {value: -Wno-missing-field-initializers, option: gcc_compiler_option} -component: -- {from: aiml, id: ml_audio_feature_generation} -- {from: aiml, id: tensorflow_debug_log_iostream} -- {from: aiml, id: tensorflow_lite_micro} -- {from: aiml, id: tensorflow_lite_micro_accelerated_kernels} -- {from: aiml, id: tensorflow_lite_micro_optimized_kernels} -- {id: EFR32MG26B510F3200IM68} -- {id: brd2608a} -- {id: clock_manager} -- {id: device_init} -- {id: iostream_recommended_stream} -- {id: iostream_retarget_stdio} -- {id: memory_manager} -- {id: micriumos_kernel} -- {id: power_manager} -- {id: printf} -- instance: [led0] - id: simple_led -- {id: sl_main} -- {id: sleeptimer} -- {id: status} -define: -- {name: DEBUG_EFM} -- {name: TF_LITE_STATIC_MEMORY} -config_file: -- {path: config/recognize_commands_config.h} -- {path: config/tflite/keyword_spotting_on_off_v2.tflite, directory: tflite} -configuration: -- {name: SL_BOARD_ENABLE_VCOM, value: '1'} -- {name: SL_BOARD_ENABLE_SENSOR_MICROPHONE, value: '1'} -- condition: [iostream_usart] - name: SL_IOSTREAM_USART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF - value: '1' -- condition: [iostream_uart] - name: SL_IOSTREAM_UART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF - value: '1' -- {name: SL_ML_AUDIO_FEATURE_GENERATION_AUDIO_BUFFER_SIZE, value: '4096'} -- {name: SL_TFLITE_MICRO_ARENA_SIZE, value: '100000'} -- {name: SL_HEAP_SIZE, value: '8192'} -- condition: [tensorflow_lite_micro_accelerated_kernels] - name: SL_MVP_OPTIMIZE_SPEED - value: '1' -ui_hints: - highlight: - - {path: readme.md, focus: true} -sdk_extension: -- {id: aiml, version: 2.1.2} - From 304fc64a5b31ae2c4b42062f809c62bbaf8d0472 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:54:14 +0530 Subject: [PATCH 10/20] Delete application/ml_voice_control_light.slps --- application/ml_voice_control_light.slps | 17 ----------------- 1 file changed, 17 deletions(-) delete mode 100644 application/ml_voice_control_light.slps diff --git a/application/ml_voice_control_light.slps b/application/ml_voice_control_light.slps deleted file mode 100644 index 523135b..0000000 --- a/application/ml_voice_control_light.slps +++ /dev/null @@ -1,17 +0,0 @@ - - - - - - - - - - - - - - - - - \ No newline at end of file From d2ae1e615db261e9fefb49a47083459d1acd8907 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:54:27 +0530 Subject: [PATCH 11/20] Delete application/readme.md --- application/readme.md | 34 ---------------------------------- 1 file changed, 34 deletions(-) delete mode 100644 application/readme.md diff --git a/application/readme.md b/application/readme.md deleted file mode 100644 index b908bb5..0000000 --- a/application/readme.md +++ /dev/null @@ -1,34 +0,0 @@ -# Voice Control Light -This application uses TensorFlow Lite for Microcontrollers to detect the spoken -words "on" and "off" from audio data recorded on the microphone. The detected -keywords are used to control an LED on the board. - -Audio is sampled continuously from the microphone at a rate of 8kHz. The -frequency components are then extracted by calculating the FFT on short segments -of audio as they become available. The result is an array of filterbanks, -representing the frequency components of the past second of audio. The processed -audio data is passed into a neural network at an interval of 200 ms. If the -model detects that either of the keywords "on" or "off" were spoken, LED0 will -toggle accordingly and the keyword detection result is printed on VCOM. - -The application is based on TensorFlow's example application, **[micro speech](https://github.com/tensorflow/tensorflow/tree/v2.3.1/tensorflow/lite/micro/examples/micro_speech)**. - -## Model -The application uses one of two different available models -(```keyword_spotting_on_off.tflite``` or ```keyword_spotting_on_off_v2.tflite```) -as the default model, depending on whether the application is generated for a -development board featuring an MVP hardware accelerator or not. When an MVP -hardware accelerator is featured on the board, inference will run at a faster -speed such that a larger model can be chosen, yielding more accurate keyword -detections. - -The neural network model has been trained to identify the two keywords "on" and -"off" from preprocessed audio data. When neither words are recognized, the model -will classify the input as either "unknown" or "background". The model takes an -array of filterbanks as input and outputs a vector with each value corresponding -to the probability that the input belongs to each of the -categories. - -Details about the model architectures and scripts for generating the models can -be found in the [Silicon Labs machine learning applications](https://github.com/SiliconLabs/machine_learning_applications/tree/main/) repository, under -```application/voice/keyword_spotting/model```. From 6d8169e9a5c712464a7767dfa0278d6c0ca4a961 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:54:39 +0530 Subject: [PATCH 12/20] Delete application/recognize_commands.cc --- application/recognize_commands.cc | 95 ------------------------------- 1 file changed, 95 deletions(-) delete mode 100644 application/recognize_commands.cc diff --git a/application/recognize_commands.cc b/application/recognize_commands.cc deleted file mode 100644 index c57a694..0000000 --- a/application/recognize_commands.cc +++ /dev/null @@ -1,95 +0,0 @@ -/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. - - This file has been modified by Silicon Labs. - ==============================================================================*/ - -#include "recognize_commands.h" - -#include - -// Labels used by the Voice Control tflite model -// 0 - on -// 1 - off -// 2 - unknown -// 3 - background -const char* kCategoryLabels[kMaxCategoryCount] = { - "on", - "off", - "unknown", - "background", -}; - -RecognizeCommands::RecognizeCommands(tflite::ErrorReporter* error_reporter, - uint8_t detection_threshold, - int32_t suppression_ms) - : error_reporter_(error_reporter), - detection_threshold_(detection_threshold), - suppression_ms_(suppression_ms), - previous_results_(error_reporter) -{ - previous_top_label_index_ = 3; // "background" - previous_top_label_time_ = std::numeric_limits < int32_t > ::min(); -} - -TfLiteStatus RecognizeCommands::ProcessLatestResults( - const TfLiteTensor* latest_results, const int32_t current_time_ms, - uint8_t* found_command_index, uint8_t* score, bool* is_new_command) -{ - -uint8_t category_count = latest_results->dims->data[1]; -int8_t current_top_index = 0; -int32_t current_top_score = 0; -uint8_t converted_scores[kMaxCategoryCount]; - -// Convert the model output to uint8 -if (latest_results->type == kTfLiteInt8) { - for(int i = 0; i < category_count; ++i) { - converted_scores[i] = (uint8_t)(latest_results->data.int8[i] + 128); - } - } else { - TF_LITE_REPORT_ERROR(error_reporter_, "Unsupported output tensor data type, must be int8 or float32"); - return kTfLiteError; - } - - for (int i = 0; i < category_count; i++) { - if (converted_scores[i] > current_top_score) { - current_top_score = converted_scores[i]; - current_top_index = i; - } - } - - // If we've recently had another label trigger, assume one that occurs too - // soon afterwards is a bad result. - int64_t time_since_last_top; - if ((previous_top_label_index_ == 3 || previous_top_label_index_ == 2) - || (previous_top_label_time_ == std::numeric_limits < int32_t > ::min())) { - time_since_last_top = std::numeric_limits < int32_t > ::max(); - // Reset timer if detecting background / unknown - } else { - time_since_last_top = current_time_ms - previous_top_label_time_; - } - - if ((current_top_score > detection_threshold_) && (time_since_last_top > suppression_ms_)) { - previous_top_label_index_ = current_top_index; - previous_top_label_time_ = current_time_ms; - *is_new_command = true; - } else { - *is_new_command = false; - } - - *found_command_index = current_top_index; - *score = current_top_score; - return kTfLiteOk; -} From 50f35d38f5837286c358137c59d7d62cc88b449c Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:54:53 +0530 Subject: [PATCH 13/20] Delete application/recognize_commands.h --- application/recognize_commands.h | 174 ------------------------------- 1 file changed, 174 deletions(-) delete mode 100644 application/recognize_commands.h diff --git a/application/recognize_commands.h b/application/recognize_commands.h deleted file mode 100644 index 0771f23..0000000 --- a/application/recognize_commands.h +++ /dev/null @@ -1,174 +0,0 @@ -/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. - - This file has been modified by Silicon Labs. - ==============================================================================*/ - -#ifndef MODEL_RECOGNIZE_COMMANDS_H_ -#define MODEL_RECOGNIZE_COMMANDS_H_ - -#include - -#include "tensorflow/lite/c/common.h" -#include "tensorflow/lite/micro/tflite_bridge/micro_error_reporter.h" - -constexpr int kMaxCategoryCount = 4; -extern const char* kCategoryLabels[kMaxCategoryCount]; - -// Partial implementation of std::dequeue, just providing the functionality -// that's needed to keep a record of previous neural network results over a -// short time period, so they can be averaged together to produce a more -// accurate overall prediction. This doesn't use any dynamic memory allocation -// so it's a better fit for microcontroller applications, but this does mean -// there are hard limits on the number of results it can store. -class PreviousResultsQueue { -public: - PreviousResultsQueue(tflite::ErrorReporter * error_reporter) - : error_reporter_(error_reporter), front_index_(0), size_(0) { - } - - // Data structure that holds an inference result, and the time when it - // was recorded. - struct Result { - Result() : time_(0), scores() { - } - Result(int32_t time, int8_t * input_scores) : time_(time) { - for (int i = 0; i < kMaxCategoryCount; ++i) { - scores[i] = input_scores[i]; - } - } - int32_t time_; - int8_t scores[kMaxCategoryCount]; - }; - - int size() - { - return size_; - } - bool empty() - { - return size_ == 0; - } - Result& front() - { - return results_[front_index_]; - } - Result& back() - { - int back_index = front_index_ + (size_ - 1); - if (back_index >= kMaxResults) { - back_index -= kMaxResults; - } - return results_[back_index]; - } - - void push_back(const Result& entry) - { - if (size() >= kMaxResults) { - TF_LITE_REPORT_ERROR( - error_reporter_, - "Couldn't push_back latest result, too many already!"); - return; - } - size_ += 1; - back() = entry; - } - - Result pop_front() - { - if (size() <= 0) { - TF_LITE_REPORT_ERROR(error_reporter_, - "Couldn't pop_front result, none present!"); - return Result(); - } - Result result = front(); - front_index_ += 1; - if (front_index_ >= kMaxResults) { - front_index_ = 0; - } - size_ -= 1; - return result; - } - - // Most of the functions are duplicates of dequeue containers, but this - // is a helper that makes it easy to iterate through the contents of the - // queue. - Result& from_front(int offset) - { - if ((offset < 0) || (offset >= size_)) { - TF_LITE_REPORT_ERROR(error_reporter_, - "Attempt to read beyond the end of the queue!"); - offset = size_ - 1; - } - int index = front_index_ + offset; - if (index >= kMaxResults) { - index -= kMaxResults; - } - return results_[index]; - } - -private: - tflite::ErrorReporter* error_reporter_; - static constexpr int kMaxResults = 50; - Result results_[kMaxResults]; - - int front_index_; - int size_; -}; - -// This class is designed to apply a very primitive decoding model on top of the -// instantaneous results from running an audio recognition model on a single -// window of samples. It applies smoothing over time so that noisy individual -// label scores are averaged, increasing the confidence that apparent matches -// are real. -// To use it, you should create a class object with the configuration you -// want, and then feed results from running a TensorFlow model into the -// processing method. The timestamp for each subsequent call should be -// increasing from the previous, since the class is designed to process a stream -// of data over time. -class RecognizeCommands { -public: - // labels should be a list of the strings associated with each one-hot score. - // The window duration controls the smoothing. Longer durations will give a - // higher confidence that the results are correct, but may miss some commands. - // The detection threshold has a similar effect, with high values increasing - // the precision at the cost of recall. The minimum count controls how many - // results need to be in the averaging window before it's seen as a reliable - // average. This prevents erroneous results when the averaging window is - // initially being populated for example. The suppression argument disables - // further recognitions for a set time after one has been triggered, which can - // help reduce spurious recognitions. - explicit RecognizeCommands(tflite::ErrorReporter* error_reporter, - uint8_t detection_threshold, - int32_t suppression_ms); - - // Call this with the results of running a model on sample data. - TfLiteStatus ProcessLatestResults(const TfLiteTensor* latest_results, - const int32_t current_time_ms, - uint8_t* found_command_index, uint8_t* score, - bool* is_new_command); - -private: - // Configuration - tflite::ErrorReporter* error_reporter_; - uint8_t detection_threshold_; - int32_t suppression_ms_; - - // Working variables - PreviousResultsQueue previous_results_; - uint8_t previous_top_label_index_; - int32_t previous_top_label_time_; -}; - -#endif // MODEL_RECOGNIZE_COMMANDS_H_ From 2e1e529660890875f5f0687460cb69d7efb43f7c Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:55:12 +0530 Subject: [PATCH 14/20] Delete application/voice_control_light.cc --- application/voice_control_light.cc | 192 ----------------------------- 1 file changed, 192 deletions(-) delete mode 100644 application/voice_control_light.cc diff --git a/application/voice_control_light.cc b/application/voice_control_light.cc deleted file mode 100644 index ba6556e..0000000 --- a/application/voice_control_light.cc +++ /dev/null @@ -1,192 +0,0 @@ -/***************************************************************************//** - * @file - * @brief Top level application functions - ******************************************************************************* - * # License - * Copyright 2021 Silicon Laboratories Inc. www.silabs.com - ******************************************************************************* - * - * The licensor of this software is Silicon Laboratories Inc. Your use of this - * software is governed by the terms of Silicon Labs Master Software License - * Agreement (MSLA) available at - * www.silabs.com/about-us/legal/master-software-license-agreement. This - * software is distributed to you in Source Code format and is governed by the - * sections of the MSLA applicable to Source Code. - * - ******************************************************************************/ -#include "os.h" -#include "sl_power_manager.h" -#include "sl_status.h" -#include "sl_led.h" -#include "sl_simple_led_instances.h" -#include "voice_control_light.h" -#include "recognize_commands.h" -#include "recognize_commands_config.h" -#include "sl_tflite_micro_model.h" -#include "sl_tflite_micro_init.h" -#include "sl_ml_audio_feature_generation.h" -#include "sl_sleeptimer.h" - -/******************************************************************************* - ******************************* DEFINES *********************************** - ******************************************************************************/ -#ifndef INFERENCE_INTERVAL_MS -#define INFERENCE_INTERVAL_MS 200 -#endif - -#ifndef TASK_STACK_SIZE -#define TASK_STACK_SIZE 512 -#endif - -#ifndef TASK_PRIORITY -#define TASK_PRIORITY 20 -#endif - -/******************************************************************************* - *************************** LOCAL VARIABLES ******************************** - ******************************************************************************/ - -// Pointer to RecognizeCommands object for handling recognitions. -static RecognizeCommands *command_recognizer = nullptr; - -// Micrium task control block -static OS_TCB tcb; - -// Micrium task stack -static CPU_STK stack[TASK_STACK_SIZE]; - -/******************************************************************************* - ************************** LOCAL FUNCTIONS ******************************* - ******************************************************************************/ - -// Application task -static void voice_control_light_task(void *arg); - -/***************************************************************************//** - * Run model inference - * - * Copies the currently available data from the feature_buffer into the input - * tensor and runs inference, updating the global output_tensor. - ******************************************************************************/ -static sl_status_t run_inference() -{ - // Update model input tensor - sl_status_t status = sl_ml_audio_feature_generation_fill_tensor(sl_tflite_micro_get_input_tensor()); - if (status != SL_STATUS_OK){ - return SL_STATUS_FAIL; - } - // Run the model on the spectrogram input and make sure it succeeds. - TfLiteStatus invoke_status = sl_tflite_micro_get_interpreter()->Invoke(); - if (invoke_status != kTfLiteOk) { - return SL_STATUS_FAIL; - } - - return SL_STATUS_OK; -} - - -/***************************************************************************//** - * Processes the output from a model inference - ******************************************************************************/ -static sl_status_t process_output(){ - // Determine whether a command was recognized based on the output of inference - uint8_t found_command_index = 0; - uint8_t score = 0; - bool is_new_command = false; - uint32_t current_time_stamp; - - // Get current time stamp needed by CommandRecognizer - current_time_stamp = sl_sleeptimer_tick_to_ms(sl_sleeptimer_get_tick_count()); - - // Perform post processing and filtering of the model output to get a labeled output with a score value. - TfLiteStatus process_status = command_recognizer->ProcessLatestResults( - sl_tflite_micro_get_output_tensor(), current_time_stamp, &found_command_index, &score, &is_new_command); - - if (process_status != kTfLiteOk) { - return SL_STATUS_FAIL; - } - - if (is_new_command) { - // Print heard command - if (found_command_index == 0){ - // command = "on" - sl_led_turn_on(&sl_led_led0); - printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index], - score, current_time_stamp); - } else if (found_command_index == 1){ - // command = "off" - sl_led_turn_off(&sl_led_led0); - printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index], - score, current_time_stamp); - } - } - - return SL_STATUS_OK; -} - - -/******************************************************************************* - ************************** GLOBAL FUNCTIONS ******************************* - ******************************************************************************/ - -/***************************************************************************//** - * Initialize application. - ******************************************************************************/ -void voice_control_light_init(void) -{ - - RTOS_ERR err; - - // Create Application Task - char task_name[] = "voice control light task"; - OSTaskCreate(&tcb, - task_name, - voice_control_light_task, - DEF_NULL, - TASK_PRIORITY, - &stack[0], - (TASK_STACK_SIZE / 10u), - TASK_STACK_SIZE, - 0u, - 0u, - DEF_NULL, - (OS_OPT_TASK_STK_CLR), - &err); - - EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE)); -} - -/***************************************************************************//** - * Voice control light task - ******************************************************************************/ -void voice_control_light_task(void *arg) -{ - RTOS_ERR err; - (void)&arg; - - printf("Voice Control Light\r\n"); - printf(" threshold=%d\r\n", DETECTION_THRESHOLD); - printf(" suppression time=%d ms\r\n", SUPPRESSION_TIME_MS); - printf("Listening for keywords...\r\n"); - sl_ml_audio_feature_generation_init(); - - // Instantiate CommandRecognizer - static RecognizeCommands static_recognizer(sl_tflite_micro_get_error_reporter(), - DETECTION_THRESHOLD, - SUPPRESSION_TIME_MS); - command_recognizer = &static_recognizer; - - // Add EM1 requirement to allow microphone sampling - sl_power_manager_add_em_requirement(SL_POWER_MANAGER_EM1); - - while (1) { - // Wait INFERENCE_INTERVAL_MS ms - OSTimeDlyHMSM(0, 0, 0, INFERENCE_INTERVAL_MS, OS_OPT_TIME_PERIODIC, &err); - EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE)); - - // Perform a word detection - sl_ml_audio_feature_generation_update_features(); - run_inference(); - process_output(); - } -} \ No newline at end of file From a96b714ebf1396b587ecb02e59d00c1245a69e65 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:55:24 +0530 Subject: [PATCH 15/20] Delete application/voice_control_light.h --- application/voice_control_light.h | 33 ------------------------------- 1 file changed, 33 deletions(-) delete mode 100644 application/voice_control_light.h diff --git a/application/voice_control_light.h b/application/voice_control_light.h deleted file mode 100644 index 0628925..0000000 --- a/application/voice_control_light.h +++ /dev/null @@ -1,33 +0,0 @@ -/***************************************************************************//** - * @file - * @brief Top level application functions - ******************************************************************************* - * # License - * Copyright 2021 Silicon Laboratories Inc. www.silabs.com - ******************************************************************************* - * - * The licensor of this software is Silicon Laboratories Inc. Your use of this - * software is governed by the terms of Silicon Labs Master Software License - * Agreement (MSLA) available at - * www.silabs.com/about-us/legal/master-software-license-agreement. This - * software is distributed to you in Source Code format and is governed by the - * sections of the MSLA applicable to Source Code. - * - ******************************************************************************/ -#ifndef VOICE_CONTROL_LIGHT_H -#define VOICE_CONTROL_LIGHT_H - -#ifdef __cplusplus -extern "C" { -#endif - -/***************************************************************************//** - * Initialize application. - ******************************************************************************/ -void voice_control_light_init(void); - -#ifdef __cplusplus -} -#endif - -#endif // VOICE_CONTROL_LIGHT_H From 273c2159d74a9428a087a00444a607fc7fe5a8fe Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:57:11 +0530 Subject: [PATCH 16/20] Create Team_TRINOVA_app_Voice control led --- application/Team_TRINOVA_app_Voice control led | 1 + 1 file changed, 1 insertion(+) create mode 100644 application/Team_TRINOVA_app_Voice control led diff --git a/application/Team_TRINOVA_app_Voice control led b/application/Team_TRINOVA_app_Voice control led new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/application/Team_TRINOVA_app_Voice control led @@ -0,0 +1 @@ + From f8751990d0f5a731c5474c1b97e98a6b767fe654 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 14:58:08 +0530 Subject: [PATCH 17/20] Delete application/Team_TRINOVA_app_Voice control led --- application/Team_TRINOVA_app_Voice control led | 1 - 1 file changed, 1 deletion(-) delete mode 100644 application/Team_TRINOVA_app_Voice control led diff --git a/application/Team_TRINOVA_app_Voice control led b/application/Team_TRINOVA_app_Voice control led deleted file mode 100644 index 8b13789..0000000 --- a/application/Team_TRINOVA_app_Voice control led +++ /dev/null @@ -1 +0,0 @@ - From fa06bb23c295bc00aab9d4dfa454145dff194069 Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 15:02:34 +0530 Subject: [PATCH 18/20] readme --- application/team trinova/readme | 1 + 1 file changed, 1 insertion(+) create mode 100644 application/team trinova/readme diff --git a/application/team trinova/readme b/application/team trinova/readme new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/application/team trinova/readme @@ -0,0 +1 @@ + From fed0aca6197f28ecb552d74cf123a0f68cf7c54e Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 15:03:36 +0530 Subject: [PATCH 19/20] Add files via upload --- application/team trinova/.cproject | 461 +++ application/team trinova/.project | 3545 +++++++++++++++++ application/team trinova/.projectlinkstore | 1 + application/team trinova/app.c | 26 + application/team trinova/app.h | 26 + application/team trinova/main.c | 43 + .../ml_voice_control_light.pintool | 10 + .../team trinova/ml_voice_control_light.slcp | 84 + .../team trinova/ml_voice_control_light.slps | 17 + application/team trinova/readme.md | 34 + .../team trinova/recognize_commands.cc | 95 + application/team trinova/recognize_commands.h | 174 + .../team trinova/voice_control_light.cc | 192 + .../team trinova/voice_control_light.h | 33 + 14 files changed, 4741 insertions(+) create mode 100644 application/team trinova/.cproject create mode 100644 application/team trinova/.project create mode 100644 application/team trinova/.projectlinkstore create mode 100644 application/team trinova/app.c create mode 100644 application/team trinova/app.h create mode 100644 application/team trinova/main.c create mode 100644 application/team trinova/ml_voice_control_light.pintool create mode 100644 application/team trinova/ml_voice_control_light.slcp create mode 100644 application/team trinova/ml_voice_control_light.slps create mode 100644 application/team trinova/readme.md create mode 100644 application/team trinova/recognize_commands.cc create mode 100644 application/team trinova/recognize_commands.h create mode 100644 application/team trinova/voice_control_light.cc create mode 100644 application/team trinova/voice_control_light.h diff --git a/application/team trinova/.cproject b/application/team trinova/.cproject new file mode 100644 index 0000000..2764219 --- /dev/null +++ b/application/team trinova/.cproject @@ -0,0 +1,461 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/application/team trinova/.project b/application/team trinova/.project new file mode 100644 index 0000000..535d296 --- /dev/null +++ b/application/team trinova/.project @@ -0,0 +1,3545 @@ + + + ml_voice_control_light + + + + + + com.silabs.ss.framework.ide.project.sls.core.slsResourceBuilder + + + + + org.eclipse.cdt.managedbuilder.core.genmakebuilder + clean,full,incremental, + + + + + org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder + full,incremental, + + + + + + org.eclipse.cdt.core.cnature + com.silabs.ss.framework.ide.project.sls.core.SLSProjectNature + 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CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/readme.md"},{"hit":0,"alias":"Post Build Editor","type":"TOOL","data":"postbuildeditor"},{"hit":0,"alias":"Pin Tool","type":"TOOL","data":"pintool"},{"hit":0,"alias":"Memory Editor","type":"TOOL","data":"memoryeditor"},{"hit":0,"alias":"Software Components","type":"NAVIGATION","data":"softwarecomponents"},{"hit":0,"alias":"docs.silabs.com","type":"EXTERNAL_URL","data":"https://docs.silabs.com/"}]} \ No newline at end of file diff --git a/application/team trinova/app.c b/application/team trinova/app.c new file mode 100644 index 0000000..7ee4f02 --- /dev/null +++ b/application/team trinova/app.c @@ -0,0 +1,26 @@ +/***************************************************************************//** + * @file + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ +#include "app.h" +#include "voice_control_light.h" + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void app_init(void) +{ + voice_control_light_init(); +} diff --git a/application/team trinova/app.h b/application/team trinova/app.h new file mode 100644 index 0000000..634d5e9 --- /dev/null +++ b/application/team trinova/app.h @@ -0,0 +1,26 @@ +/***************************************************************************//** + * @file app.h + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ + +#ifndef APP_H +#define APP_H + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void app_init(void); + +#endif // APP_H diff --git a/application/team trinova/main.c b/application/team trinova/main.c new file mode 100644 index 0000000..88f4efa --- /dev/null +++ b/application/team trinova/main.c @@ -0,0 +1,43 @@ +/***************************************************************************//** + * @file main.c + * @brief main() function. + ******************************************************************************* + * # License + * Copyright 2025 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * SPDX-License-Identifier: Zlib + * + * The licensor of this software is Silicon Laboratories Inc. + * + * This software is provided 'as-is', without any express or implied + * warranty. In no event will the authors be held liable for any damages + * arising from the use of this software. + * + * Permission is granted to anyone to use this software for any purpose, + * including commercial applications, and to alter it and redistribute it + * freely, subject to the following restrictions: + * + * 1. The origin of this software must not be misrepresented; you must not + * claim that you wrote the original software. If you use this software + * in a product, an acknowledgment in the product documentation would be + * appreciated but is not required. + * 2. Altered source versions must be plainly marked as such, and must not be + * misrepresented as being the original software. + * 3. This notice may not be removed or altered from any source distribution. + * + ******************************************************************************/ +#include "sl_main_init.h" +#include "sl_main_kernel.h" + +int main(void) +{ + // Initialize Silicon Labs device, system, service(s) and protocol stack(s). + sl_main_second_stage_init(); + + app_init(); + + while (sl_main_start_task_should_continue()) { + app_process_action(); + } +} diff --git a/application/team trinova/ml_voice_control_light.pintool b/application/team trinova/ml_voice_control_light.pintool new file mode 100644 index 0000000..728003a --- /dev/null +++ b/application/team trinova/ml_voice_control_light.pintool @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/application/team trinova/ml_voice_control_light.slcp b/application/team trinova/ml_voice_control_light.slcp new file mode 100644 index 0000000..92edae3 --- /dev/null +++ b/application/team trinova/ml_voice_control_light.slcp @@ -0,0 +1,84 @@ +# Silicon Labs Project Configuration Tools: slcp, v0, Component selection file. +project_name: ml_voice_control_light +label: ml_voice_control_light +description: | + This application uses TensorFlow Lite for Microcontrollers to detect the spoken words "on" and "off" from audio data recorded on the microphone in a Micrium OS kernel task. The detected keywords are used to control an LED on the board. +category: AI/ML Application +filter: +- name: Capability + value: [Machine Learning] +- name: Device Type + value: [SoC] +- name: MCU + value: [32-bit MCU] +- name: Project Difficulty + value: [Advanced] +package: aiml +quality: production +readme: +- {path: readme.md} +- {path: readme.md} +source: +- {path: app.c} +- {path: voice_control_light.cc} +- {path: recognize_commands.cc} +tag: ['hardware:device:flash:130', 'hardware:device:ram:128', 'hardware:component:microphone', + 'hardware:component:led:1+'] +include: +- path: . + file_list: + - {path: app.h} + - {path: voice_control_light.h} + - {path: recognize_commands.h} +sdk: {id: simplicity_sdk, version: 2025.6.2} +toolchain_settings: +- {value: -Wno-unused-parameter, option: gcc_compiler_option} +- {value: -Wno-missing-field-initializers, option: gcc_compiler_option} +component: +- {from: aiml, id: ml_audio_feature_generation} +- {from: aiml, id: tensorflow_debug_log_iostream} +- {from: aiml, id: tensorflow_lite_micro} +- {from: aiml, id: tensorflow_lite_micro_accelerated_kernels} +- {from: aiml, id: tensorflow_lite_micro_optimized_kernels} +- {id: EFR32MG26B510F3200IM68} +- {id: brd2608a} +- {id: clock_manager} +- {id: device_init} +- {id: iostream_recommended_stream} +- {id: iostream_retarget_stdio} +- {id: memory_manager} +- {id: micriumos_kernel} +- {id: power_manager} +- {id: printf} +- instance: [led0] + id: simple_led +- {id: sl_main} +- {id: sleeptimer} +- {id: status} +define: +- {name: DEBUG_EFM} +- {name: TF_LITE_STATIC_MEMORY} +config_file: +- {path: config/recognize_commands_config.h} +- {path: config/tflite/keyword_spotting_on_off_v2.tflite, directory: tflite} +configuration: +- {name: SL_BOARD_ENABLE_VCOM, value: '1'} +- {name: SL_BOARD_ENABLE_SENSOR_MICROPHONE, value: '1'} +- condition: [iostream_usart] + name: SL_IOSTREAM_USART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF + value: '1' +- condition: [iostream_uart] + name: SL_IOSTREAM_UART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF + value: '1' +- {name: SL_ML_AUDIO_FEATURE_GENERATION_AUDIO_BUFFER_SIZE, value: '4096'} +- {name: SL_TFLITE_MICRO_ARENA_SIZE, value: '100000'} +- {name: SL_HEAP_SIZE, value: '8192'} +- condition: [tensorflow_lite_micro_accelerated_kernels] + name: SL_MVP_OPTIMIZE_SPEED + value: '1' +ui_hints: + highlight: + - {path: readme.md, focus: true} +sdk_extension: +- {id: aiml, version: 2.1.2} + diff --git a/application/team trinova/ml_voice_control_light.slps b/application/team trinova/ml_voice_control_light.slps new file mode 100644 index 0000000..523135b --- /dev/null +++ b/application/team trinova/ml_voice_control_light.slps @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/application/team trinova/readme.md b/application/team trinova/readme.md new file mode 100644 index 0000000..b908bb5 --- /dev/null +++ b/application/team trinova/readme.md @@ -0,0 +1,34 @@ +# Voice Control Light +This application uses TensorFlow Lite for Microcontrollers to detect the spoken +words "on" and "off" from audio data recorded on the microphone. The detected +keywords are used to control an LED on the board. + +Audio is sampled continuously from the microphone at a rate of 8kHz. The +frequency components are then extracted by calculating the FFT on short segments +of audio as they become available. The result is an array of filterbanks, +representing the frequency components of the past second of audio. The processed +audio data is passed into a neural network at an interval of 200 ms. If the +model detects that either of the keywords "on" or "off" were spoken, LED0 will +toggle accordingly and the keyword detection result is printed on VCOM. + +The application is based on TensorFlow's example application, **[micro speech](https://github.com/tensorflow/tensorflow/tree/v2.3.1/tensorflow/lite/micro/examples/micro_speech)**. + +## Model +The application uses one of two different available models +(```keyword_spotting_on_off.tflite``` or ```keyword_spotting_on_off_v2.tflite```) +as the default model, depending on whether the application is generated for a +development board featuring an MVP hardware accelerator or not. When an MVP +hardware accelerator is featured on the board, inference will run at a faster +speed such that a larger model can be chosen, yielding more accurate keyword +detections. + +The neural network model has been trained to identify the two keywords "on" and +"off" from preprocessed audio data. When neither words are recognized, the model +will classify the input as either "unknown" or "background". The model takes an +array of filterbanks as input and outputs a vector with each value corresponding +to the probability that the input belongs to each of the +categories. + +Details about the model architectures and scripts for generating the models can +be found in the [Silicon Labs machine learning applications](https://github.com/SiliconLabs/machine_learning_applications/tree/main/) repository, under +```application/voice/keyword_spotting/model```. diff --git a/application/team trinova/recognize_commands.cc b/application/team trinova/recognize_commands.cc new file mode 100644 index 0000000..c57a694 --- /dev/null +++ b/application/team trinova/recognize_commands.cc @@ -0,0 +1,95 @@ +/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + + This file has been modified by Silicon Labs. + ==============================================================================*/ + +#include "recognize_commands.h" + +#include + +// Labels used by the Voice Control tflite model +// 0 - on +// 1 - off +// 2 - unknown +// 3 - background +const char* kCategoryLabels[kMaxCategoryCount] = { + "on", + "off", + "unknown", + "background", +}; + +RecognizeCommands::RecognizeCommands(tflite::ErrorReporter* error_reporter, + uint8_t detection_threshold, + int32_t suppression_ms) + : error_reporter_(error_reporter), + detection_threshold_(detection_threshold), + suppression_ms_(suppression_ms), + previous_results_(error_reporter) +{ + previous_top_label_index_ = 3; // "background" + previous_top_label_time_ = std::numeric_limits < int32_t > ::min(); +} + +TfLiteStatus RecognizeCommands::ProcessLatestResults( + const TfLiteTensor* latest_results, const int32_t current_time_ms, + uint8_t* found_command_index, uint8_t* score, bool* is_new_command) +{ + +uint8_t category_count = latest_results->dims->data[1]; +int8_t current_top_index = 0; +int32_t current_top_score = 0; +uint8_t converted_scores[kMaxCategoryCount]; + +// Convert the model output to uint8 +if (latest_results->type == kTfLiteInt8) { + for(int i = 0; i < category_count; ++i) { + converted_scores[i] = (uint8_t)(latest_results->data.int8[i] + 128); + } + } else { + TF_LITE_REPORT_ERROR(error_reporter_, "Unsupported output tensor data type, must be int8 or float32"); + return kTfLiteError; + } + + for (int i = 0; i < category_count; i++) { + if (converted_scores[i] > current_top_score) { + current_top_score = converted_scores[i]; + current_top_index = i; + } + } + + // If we've recently had another label trigger, assume one that occurs too + // soon afterwards is a bad result. + int64_t time_since_last_top; + if ((previous_top_label_index_ == 3 || previous_top_label_index_ == 2) + || (previous_top_label_time_ == std::numeric_limits < int32_t > ::min())) { + time_since_last_top = std::numeric_limits < int32_t > ::max(); + // Reset timer if detecting background / unknown + } else { + time_since_last_top = current_time_ms - previous_top_label_time_; + } + + if ((current_top_score > detection_threshold_) && (time_since_last_top > suppression_ms_)) { + previous_top_label_index_ = current_top_index; + previous_top_label_time_ = current_time_ms; + *is_new_command = true; + } else { + *is_new_command = false; + } + + *found_command_index = current_top_index; + *score = current_top_score; + return kTfLiteOk; +} diff --git a/application/team trinova/recognize_commands.h b/application/team trinova/recognize_commands.h new file mode 100644 index 0000000..0771f23 --- /dev/null +++ b/application/team trinova/recognize_commands.h @@ -0,0 +1,174 @@ +/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + + This file has been modified by Silicon Labs. + ==============================================================================*/ + +#ifndef MODEL_RECOGNIZE_COMMANDS_H_ +#define MODEL_RECOGNIZE_COMMANDS_H_ + +#include + +#include "tensorflow/lite/c/common.h" +#include "tensorflow/lite/micro/tflite_bridge/micro_error_reporter.h" + +constexpr int kMaxCategoryCount = 4; +extern const char* kCategoryLabels[kMaxCategoryCount]; + +// Partial implementation of std::dequeue, just providing the functionality +// that's needed to keep a record of previous neural network results over a +// short time period, so they can be averaged together to produce a more +// accurate overall prediction. This doesn't use any dynamic memory allocation +// so it's a better fit for microcontroller applications, but this does mean +// there are hard limits on the number of results it can store. +class PreviousResultsQueue { +public: + PreviousResultsQueue(tflite::ErrorReporter * error_reporter) + : error_reporter_(error_reporter), front_index_(0), size_(0) { + } + + // Data structure that holds an inference result, and the time when it + // was recorded. + struct Result { + Result() : time_(0), scores() { + } + Result(int32_t time, int8_t * input_scores) : time_(time) { + for (int i = 0; i < kMaxCategoryCount; ++i) { + scores[i] = input_scores[i]; + } + } + int32_t time_; + int8_t scores[kMaxCategoryCount]; + }; + + int size() + { + return size_; + } + bool empty() + { + return size_ == 0; + } + Result& front() + { + return results_[front_index_]; + } + Result& back() + { + int back_index = front_index_ + (size_ - 1); + if (back_index >= kMaxResults) { + back_index -= kMaxResults; + } + return results_[back_index]; + } + + void push_back(const Result& entry) + { + if (size() >= kMaxResults) { + TF_LITE_REPORT_ERROR( + error_reporter_, + "Couldn't push_back latest result, too many already!"); + return; + } + size_ += 1; + back() = entry; + } + + Result pop_front() + { + if (size() <= 0) { + TF_LITE_REPORT_ERROR(error_reporter_, + "Couldn't pop_front result, none present!"); + return Result(); + } + Result result = front(); + front_index_ += 1; + if (front_index_ >= kMaxResults) { + front_index_ = 0; + } + size_ -= 1; + return result; + } + + // Most of the functions are duplicates of dequeue containers, but this + // is a helper that makes it easy to iterate through the contents of the + // queue. + Result& from_front(int offset) + { + if ((offset < 0) || (offset >= size_)) { + TF_LITE_REPORT_ERROR(error_reporter_, + "Attempt to read beyond the end of the queue!"); + offset = size_ - 1; + } + int index = front_index_ + offset; + if (index >= kMaxResults) { + index -= kMaxResults; + } + return results_[index]; + } + +private: + tflite::ErrorReporter* error_reporter_; + static constexpr int kMaxResults = 50; + Result results_[kMaxResults]; + + int front_index_; + int size_; +}; + +// This class is designed to apply a very primitive decoding model on top of the +// instantaneous results from running an audio recognition model on a single +// window of samples. It applies smoothing over time so that noisy individual +// label scores are averaged, increasing the confidence that apparent matches +// are real. +// To use it, you should create a class object with the configuration you +// want, and then feed results from running a TensorFlow model into the +// processing method. The timestamp for each subsequent call should be +// increasing from the previous, since the class is designed to process a stream +// of data over time. +class RecognizeCommands { +public: + // labels should be a list of the strings associated with each one-hot score. + // The window duration controls the smoothing. Longer durations will give a + // higher confidence that the results are correct, but may miss some commands. + // The detection threshold has a similar effect, with high values increasing + // the precision at the cost of recall. The minimum count controls how many + // results need to be in the averaging window before it's seen as a reliable + // average. This prevents erroneous results when the averaging window is + // initially being populated for example. The suppression argument disables + // further recognitions for a set time after one has been triggered, which can + // help reduce spurious recognitions. + explicit RecognizeCommands(tflite::ErrorReporter* error_reporter, + uint8_t detection_threshold, + int32_t suppression_ms); + + // Call this with the results of running a model on sample data. + TfLiteStatus ProcessLatestResults(const TfLiteTensor* latest_results, + const int32_t current_time_ms, + uint8_t* found_command_index, uint8_t* score, + bool* is_new_command); + +private: + // Configuration + tflite::ErrorReporter* error_reporter_; + uint8_t detection_threshold_; + int32_t suppression_ms_; + + // Working variables + PreviousResultsQueue previous_results_; + uint8_t previous_top_label_index_; + int32_t previous_top_label_time_; +}; + +#endif // MODEL_RECOGNIZE_COMMANDS_H_ diff --git a/application/team trinova/voice_control_light.cc b/application/team trinova/voice_control_light.cc new file mode 100644 index 0000000..ba6556e --- /dev/null +++ b/application/team trinova/voice_control_light.cc @@ -0,0 +1,192 @@ +/***************************************************************************//** + * @file + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ +#include "os.h" +#include "sl_power_manager.h" +#include "sl_status.h" +#include "sl_led.h" +#include "sl_simple_led_instances.h" +#include "voice_control_light.h" +#include "recognize_commands.h" +#include "recognize_commands_config.h" +#include "sl_tflite_micro_model.h" +#include "sl_tflite_micro_init.h" +#include "sl_ml_audio_feature_generation.h" +#include "sl_sleeptimer.h" + +/******************************************************************************* + ******************************* DEFINES *********************************** + ******************************************************************************/ +#ifndef INFERENCE_INTERVAL_MS +#define INFERENCE_INTERVAL_MS 200 +#endif + +#ifndef TASK_STACK_SIZE +#define TASK_STACK_SIZE 512 +#endif + +#ifndef TASK_PRIORITY +#define TASK_PRIORITY 20 +#endif + +/******************************************************************************* + *************************** LOCAL VARIABLES ******************************** + ******************************************************************************/ + +// Pointer to RecognizeCommands object for handling recognitions. +static RecognizeCommands *command_recognizer = nullptr; + +// Micrium task control block +static OS_TCB tcb; + +// Micrium task stack +static CPU_STK stack[TASK_STACK_SIZE]; + +/******************************************************************************* + ************************** LOCAL FUNCTIONS ******************************* + ******************************************************************************/ + +// Application task +static void voice_control_light_task(void *arg); + +/***************************************************************************//** + * Run model inference + * + * Copies the currently available data from the feature_buffer into the input + * tensor and runs inference, updating the global output_tensor. + ******************************************************************************/ +static sl_status_t run_inference() +{ + // Update model input tensor + sl_status_t status = sl_ml_audio_feature_generation_fill_tensor(sl_tflite_micro_get_input_tensor()); + if (status != SL_STATUS_OK){ + return SL_STATUS_FAIL; + } + // Run the model on the spectrogram input and make sure it succeeds. + TfLiteStatus invoke_status = sl_tflite_micro_get_interpreter()->Invoke(); + if (invoke_status != kTfLiteOk) { + return SL_STATUS_FAIL; + } + + return SL_STATUS_OK; +} + + +/***************************************************************************//** + * Processes the output from a model inference + ******************************************************************************/ +static sl_status_t process_output(){ + // Determine whether a command was recognized based on the output of inference + uint8_t found_command_index = 0; + uint8_t score = 0; + bool is_new_command = false; + uint32_t current_time_stamp; + + // Get current time stamp needed by CommandRecognizer + current_time_stamp = sl_sleeptimer_tick_to_ms(sl_sleeptimer_get_tick_count()); + + // Perform post processing and filtering of the model output to get a labeled output with a score value. + TfLiteStatus process_status = command_recognizer->ProcessLatestResults( + sl_tflite_micro_get_output_tensor(), current_time_stamp, &found_command_index, &score, &is_new_command); + + if (process_status != kTfLiteOk) { + return SL_STATUS_FAIL; + } + + if (is_new_command) { + // Print heard command + if (found_command_index == 0){ + // command = "on" + sl_led_turn_on(&sl_led_led0); + printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index], + score, current_time_stamp); + } else if (found_command_index == 1){ + // command = "off" + sl_led_turn_off(&sl_led_led0); + printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index], + score, current_time_stamp); + } + } + + return SL_STATUS_OK; +} + + +/******************************************************************************* + ************************** GLOBAL FUNCTIONS ******************************* + ******************************************************************************/ + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void voice_control_light_init(void) +{ + + RTOS_ERR err; + + // Create Application Task + char task_name[] = "voice control light task"; + OSTaskCreate(&tcb, + task_name, + voice_control_light_task, + DEF_NULL, + TASK_PRIORITY, + &stack[0], + (TASK_STACK_SIZE / 10u), + TASK_STACK_SIZE, + 0u, + 0u, + DEF_NULL, + (OS_OPT_TASK_STK_CLR), + &err); + + EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE)); +} + +/***************************************************************************//** + * Voice control light task + ******************************************************************************/ +void voice_control_light_task(void *arg) +{ + RTOS_ERR err; + (void)&arg; + + printf("Voice Control Light\r\n"); + printf(" threshold=%d\r\n", DETECTION_THRESHOLD); + printf(" suppression time=%d ms\r\n", SUPPRESSION_TIME_MS); + printf("Listening for keywords...\r\n"); + sl_ml_audio_feature_generation_init(); + + // Instantiate CommandRecognizer + static RecognizeCommands static_recognizer(sl_tflite_micro_get_error_reporter(), + DETECTION_THRESHOLD, + SUPPRESSION_TIME_MS); + command_recognizer = &static_recognizer; + + // Add EM1 requirement to allow microphone sampling + sl_power_manager_add_em_requirement(SL_POWER_MANAGER_EM1); + + while (1) { + // Wait INFERENCE_INTERVAL_MS ms + OSTimeDlyHMSM(0, 0, 0, INFERENCE_INTERVAL_MS, OS_OPT_TIME_PERIODIC, &err); + EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE)); + + // Perform a word detection + sl_ml_audio_feature_generation_update_features(); + run_inference(); + process_output(); + } +} \ No newline at end of file diff --git a/application/team trinova/voice_control_light.h b/application/team trinova/voice_control_light.h new file mode 100644 index 0000000..0628925 --- /dev/null +++ b/application/team trinova/voice_control_light.h @@ -0,0 +1,33 @@ +/***************************************************************************//** + * @file + * @brief Top level application functions + ******************************************************************************* + * # License + * Copyright 2021 Silicon Laboratories Inc. www.silabs.com + ******************************************************************************* + * + * The licensor of this software is Silicon Laboratories Inc. Your use of this + * software is governed by the terms of Silicon Labs Master Software License + * Agreement (MSLA) available at + * www.silabs.com/about-us/legal/master-software-license-agreement. This + * software is distributed to you in Source Code format and is governed by the + * sections of the MSLA applicable to Source Code. + * + ******************************************************************************/ +#ifndef VOICE_CONTROL_LIGHT_H +#define VOICE_CONTROL_LIGHT_H + +#ifdef __cplusplus +extern "C" { +#endif + +/***************************************************************************//** + * Initialize application. + ******************************************************************************/ +void voice_control_light_init(void); + +#ifdef __cplusplus +} +#endif + +#endif // VOICE_CONTROL_LIGHT_H From 0c25cc9de059b3ff914892440251e46544bd4a4e Mon Sep 17 00:00:00 2001 From: SriCharithaIndaram Date: Mon, 24 Nov 2025 15:04:44 +0530 Subject: [PATCH 20/20] Delete application/team trinova/readme --- application/team trinova/readme | 1 - 1 file changed, 1 deletion(-) delete mode 100644 application/team trinova/readme diff --git a/application/team trinova/readme b/application/team trinova/readme deleted file mode 100644 index 8b13789..0000000 --- a/application/team trinova/readme +++ /dev/null @@ -1 +0,0 @@ -