Text-To-Speech feature (new) #4
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Jeronymous
commented
Mar 25, 2025
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| text_tokens = tokenizer(text, return_tensors="pt").input_ids.to(device) | ||
| speaker_type_prompt_tokens = tokenizer(prompt, return_tensors="pt").input_ids.to(device) | ||
| audio_tensor = model.generate(input_ids=speaker_type_prompt_tokens, prompt_input_ids=text_tokens) |
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@hedhoud "speaker_type_prompt_tokens" represents here the type of speaker/speech (e.g. "A female speaker delivers an expressive and animated speech with a very high-pitch voice [...]" : see above).
But it turns out that it's not working. The gender is not respected. Do you see what can be wrong?
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This was a problem with the "description tokenizer" that is in fact different from the other tokenizer (which tokenizes the text to pronounce).
Fixed by 060a85d
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This add TTS feature (function text -> audio waveform)