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josephrocca avatar josephrocca commented on May 18, 2024 2

Done: huggingface/transformers#22487

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xenova avatar xenova commented on May 18, 2024 1

Woah 🤯 This definitely sounds do-able! I'll look into it (and hopefully add it quite soon 💪 )

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josephrocca avatar josephrocca commented on May 18, 2024 1

Yeah expressiveness/non-roboticness is the main factor for me. And next is inference speed. Size is probably not a big issue for my use cases - anything under 500mb is fine.

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xenova avatar xenova commented on May 18, 2024

I've been looking into it more today, but it seems as though HF does not support text-to-speech in the pipeline function? It also appears that optimum doesn't support text-to-speech as a task (needed to convert to ONNX format).

Fortunately, the spaces demo you sent above includes some code I can use for testing (https://huggingface.co/spaces/Matthijs/speecht5-tts-demo/blob/main/app.py).

If you want, you could even open up a feature request / PR on the main transformers branch to add this.

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josephrocca avatar josephrocca commented on May 18, 2024

Just came across this:

The audio quality here seems quite good for the model size.

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kungfooman avatar kungfooman commented on May 18, 2024

@josephrocca Do you have any favorite model or do you use different models for different tasks?

I am very much looking forward to this 🙈

I guess the decision matrix would contain:

  • Number of available languages
  • Ability to handle emotive text
  • Size of the model
  • Transformers support

Just tested Bark: huggingface/transformers#23036

sudo.bark.webm

I like the ability to add emotion, just funny that it suddenly changed the voice/gender too 😅

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