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55This is a guided series of tutorials/notebooks that can be taken as a reference or course to build a PDF to Podcast workflow.
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7- You will also learn from experimentations of using Text to Speech Models.
7+ You will also learn from the experiments of using Text to Speech Models.
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99It assumes zero knowledge of LLMs, prompting and audio models, everything is covered in their respective notebooks.
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Original file line number Diff line number Diff line change @@ -97,7 +97,7 @@ Audio(speech_output[0].cpu().numpy(), rate=sampling_rate)```
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9898Promising directions to explore in future:
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100- - [ MeloTTS] ( huggingface.co/myshell-ai/MeloTTS-English ) This is most popular (ever) on HuggingFace
100+ - [ MeloTTS] ( https:// huggingface.co/myshell-ai/MeloTTS-English) This is most popular (ever) on HuggingFace
101101- [ WhisperSpeech] ( https://huggingface.co/WhisperSpeech/WhisperSpeech ) sounded quite natural as well
102102- [ F5-TTS] ( https://github.com/SWivid/F5-TTS ) was the latest release at this time, however, it felt a bit robotic
103103- E2-TTS: r/locallama claims this to be a little better, however, it didn't pass the vibe test
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