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    PocketTTS training blog details a ‘drifting’ approach to on-device speech synthesis

    Kyutai says its 100-million-parameter model achieves less than 1% word error rate and supports voice cloning.

    Pete SkomorochPS
    Alexandre DéfossezAD
    2 Sources, ,

    TLDR

    Kyutai released a technical blog on training PocketTTS, its on-device text-to-speech model, using drifting, a one-step generative objective from Deng et al. The lab reports less than 1% word error rate and voice cloning. To its knowledge, PocketTTS is the first speech model and the first autoregressive model trained this way.

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    2 Sources, first seen 14h ago

    Combined views

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    2 Sources, first seen 14h ago

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    2 Sources

    Alexandre Défossez@honualxDrifting is a fascinating new way of doing 1-step continuous generative modeling, discovered by Kaiming He and his team this year. For the first time, we apply it to auto-regressive continuous generation for super small TTS models. Great work by @Manu__Orsini.14h
    Pete Skomoroch@peteskomorochRT @honualx: Drifting is a fascinating new way of doing 1-step continuous generative modeling, discovered by Kaiming He and his team this y…48m

    2 Sources

    Alexandre Défossez@honualxDrifting is a fascinating new way of doing 1-step continuous generative modeling, discovered by Kaiming He and his team this year. For the first time, we apply it to auto-regressive continuous generation for super small TTS models. Great work by @Manu__Orsini.14h
    Pete Skomoroch@peteskomorochRT @honualx: Drifting is a fascinating new way of doing 1-step continuous generative modeling, discovered by Kaiming He and his team this y…48m