[ STATUS: ZERO-CLOUD / FULL-MEMORY / RAW-HARDWARE ] Client-Side Neural Speech-to-Text Engine via WebGPU.
Commercial STT (Speech-to-Text) systems process voice as a remote dataset, introducing network latency, recurring API costs, and severe privacy vulnerabilities. WHISP resolves this entropy by reclaiming the computational sovereignty of local silicon.
No servers. No API keys. Zero compromises.
Neural inference occurs entirely within the browser via WebGPU, isolating the acoustic stream in the client's volatile memory. Privacy is not a contractual policy; it is a mathematical consequence of the architecture.
WHISP doesn't just run a model; it fortifies real-world entropy through a deterministic purification pipeline:
- Edge WebGPU Inference: Direct injection of the acoustic model (Quantized Whisper) into the device's GPU, with dynamic fallback to WASM for resource-constrained hardware.
- Dynamic SNR Shield (VAD): A Voice Activity Detection system that bypasses static thresholds to calculate background noise variance in real-time. It ignores music and applies hard tail-clipping to prevent neural hallucinations.
- Quantum Phonetic Healing: A proprietary Zero-Waste NLP engine that corrects transcription errors in post-production by comparing phonetic hashes with Levenshtein distance metrics, repairing token "bleeding."
- Autonomous Context Bridge (Zeitgeist): WHISP background-assimilates global breaking news RSS feeds. It pre-loads proper names, locations, and current events into the tensor before the speaker utters them, eliminating out-of-vocabulary errors.
- Semantic Guillotine (Neural Ad-Blocker): A "semantic drift" detector that analyzes bigram overlap. If it detects a sudden shift in context (e.g., from a news broadcast to a commercial break), it severs the autoregressive prompt to prevent text contamination.
The system is engineered on a topology of isolated layers, designed to guarantee O(1) latency and zero memory overhead (Zero-Waste Allocation):
- Raw Acquisition (Absolute Domain): Total bypass of black-box OS filters. The hardware delivers pure bytes, processed by a deterministic mathematical DSP chain (High-Pass, AGC, Preamplification).
- Thermal Barrier: The stream enters a shared Ring Buffer. The VAD authorizes frame transit to the neural engines only if vocal entropy exceeds the background noise signature, protecting the CPU from thermal collapse.
- Decoding and Isolation: The linguistic tensor translates the audio. A primary entropy filter analyzes the text's compression ratio: if it detects fractal loops or neural stuttering, it triggers an instant Cold-Start of the model.
- Ontological Convergence: Raw text passes through the NLP filter, where asymmetrical thresholds force acoustic glitches to align with the sovereign dictionary loaded by the Zeitgeist module.
WHISP nodes can form a decentralized mesh via WebRTC DataChannels, allowing compute distribution across multiple machines.
- Local Dispatcher: A lightweight WebSocket relay handling exclusively SDP/ICE negotiation. Carries zero payload.
- Swarm Consensus: In-browser WebRTC orchestrator. Dispatches tasks, monitors heartbeats, and resolves results through majority consensus groups.
- Neural Volunteering: Web nodes can load a secondary quantized LLM (
SmolLM2-135M) to execute inference tasks requested by network peers.
No Docker containers, cloud instances, or Node.js backends required for voice inference. The system is a self-sufficient static web executable communicating directly with the hardware.
- Browser with enabled WebGPU support (recent Chrome/Edge).
- Cross-Origin Isolation (
COOP/COEP) enabled by the hosting server to allow high-frequency memory synchronization (SharedArrayBuffer). - Raw hardware access to the local microphone stream.
I sistemi STT (Speech-to-Text) commerciali processano la voce come un dataset remoto, introducendo latenza di rete, costi API ricorrenti e gravi vulnerabilità per la privacy. WHISP risolve questa entropia reclamando la sovranità computazionale del silicio locale.
Nessun server. Nessuna chiave API. Zero compromessi.
L'inferenza neurale avviene interamente all'interno del browser tramite WebGPU, isolando il flusso acustico nella memoria volatile del client. La privacy non è una policy contrattuale; è una conseguenza matematica dell'architettura.
- Inferenza Edge WebGPU: Iniezione diretta di Whisper quantizzato nella GPU locale.
- Scudo SNR Dinamico (VAD): Rilevazione attività vocale con tail-clipping per prevenire allucinazioni.
- Healing Fonetico Quantistico: Motore NLP per la riparazione degli errori post-produzione.
- Ponte di Contesto (Zeitgeist): Sincronizzazione ontologica continua tramite Feed RSS di news globali.
- Ghigliottina Semantica: Rilevatore di deriva contestuale per isolare la pubblicità.
- Acquisizione Cruda: I/O microfonico bypassando i filtri di sistema.
- Barriera Termica: Controllo preventivo dell'entropia audio nel Ring Buffer.
- Decodifica e Isolamento: Filtro entropico per purgare loop e balbettio neurale.
- Convergenza Ontologica: Correzione del testo basata sui dizionari sovrani.
Los sistemas STT comerciales procesan la voz como datos remotos, introduciendo latencia y riesgos de privacidad. WHISP reclama la soberanía computacional del silicio local.
Sin servidores. Sin claves API. Compromiso cero.
La inferencia neuronal ocurre íntegramente en el navegador a través de WebGPU. La privacidad es una consecuencia matemática de la arquitectura.
- Inferencia Edge WebGPU: Inyección directa del modelo Whisper en la GPU local.
- Escudo SNR Dinámico (VAD): Detección de actividad vocal con recorte térmico para evitar alucinaciones.
- Sanación Fonética Cuántica: Motor NLP para corrección de errores mediante hashes fonéticos.
- Puente de Contexto (Zeitgeist): Sincronización continua con noticias RSS en tiempo real.
- Guillotina Semántica: Detector de deriva para segmentar y bloquear publicidad.
- Adquisición Pura: Entrada de micrófono sin filtros de sistema operativo.
- Barrera Térmica: Gestión del Ring Buffer basada en la entropía acústica.
- Decodificación y Aislamiento: Filtro contra bucles fractales y tartamudeo neuronal.
- Convergencia Ontológica: Alineación del texto con diccionarios soberanos locales.
Les systèmes STT commerciaux traitent la voix à distance, ce qui pose des problèmes de latence et de confidentialité. WHISP redonne la souveraineté au silicium local.
Pas de serveurs. Pas d'API. Zéro compromis.
L'inférence neurale s'effectue dans le navigateur via WebGPU. La confidentialité est un impératif mathématique structurel.
- Inférence Edge WebGPU : Injection directe du modèle Whisper dans le GPU de l'appareil.
- Scudo SNR Dynamique (VAD) : Détection vocale avec tail-clipping anti-hallucination.
- Guérison Phonétique Quantique : Moteur NLP pour la correction d'erreurs via hash phonétiques.
- Pont de Contexte (Zeitgeist) : Synchronisation ontologique avec les flux RSS d'actualités.
- Guillotine Sémantique : Détection de dérive pour isoler les interruptions publicitaires.
- Acquisition Brute : Audio direct sans traitements OS boîte noire.
- Barrière Thermique : Analyse de l'entropie dans le Ring Buffer avant calcul.
- Décodage et Isolation : Éradication des boucles fractales et du bégaiement neural.
- Convergence Ontologique : Rectification textuelle basée sur le dictionnaire souverain.
Kommerzielle STT-Systeme verarbeiten Sprache in der Cloud, was Latenz und Datenschutzrisiken birgt. WHISP fordert die Rechensouveränität des lokalen Siliziums zurück.
Keine Server. Keine APIs. Null Kompromisse.
Neuronale Inferenz erfolgt via WebGPU direkt im Browser. Datenschutz ist eine mathematische Konsequenz der Architektur.
- Edge WebGPU Inferenz: Direkte Whisper-Modell-Integration in der lokalen GPU.
- Dynamischer SNR-Schild (VAD): Sprachaktivitätserkennung mit Anti-Halluzinations-Clipping.
- Quanten-Phonetische Heilung: NLP-Engine zur Fehlerkorrektur mittels phonetischer Hashes.
- Kontext-Brücke (Zeitgeist): Ontologische Synchronisation via Nachrichten-RSS-Feeds.
- Semantische Guillotine: Drift-Erkennung zur automatischen Werbeblockierung.
- Roh-Akquise: Mikrofon-Eingang unter Umgehung aller OS-Filter.
- Thermische Barriere: Audio-Entropie-Prüfung im Ring-Puffer vor der Inferenz.
- Dekodierung & Isolation: Eliminierung von Loops und neuronalem Stottern.
- Ontologische Konvergenz: Textkorrektur basierend auf dem souveränen Wörterbuch.