Observed Signal · Jun 20, 2023 · Policy Update · Source: OnlineMarketing.de · Impact: 4/5 · Sentiment: Neutral
Meta Keeps Voicebox Multilingual AI Private
Meta states it will not publish the Voicebox multilingual speech AI model or code due to misuse risks. Meta claims Voicebox outperforms Microsoft Vall-E on zero-shot text-to-speech in intelligibility and audio similarity, citing metrics of 5.9% vs 1.9% word error rates and 0.580 vs 0.681 in audio similarity. Voicebox supports six languages, including German, and can translate text to audio across languages. A feature called Audioradiergummi can remove barking sounds from a recording without degrading the rest. Voicebox is described as based on a Flow-Matching, non-autoregressive architecture enabling non-deterministic text-to-speech mapping, trained on about 50,000 hours of publicly available speech and audiobook transcripts. Meta also mentions a classifier to distinguish authentic speech from Voicebox-generated audio to mitigate risks, and references future AI initiatives such as Metamate and AI personas.
Policy update by major platform (Meta) restricting Voicebox release due to potential misuse risks.
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Key Takeaways & Evidence Grounding
- Voicebox reportedly outperforms Vall-E (Microsoft) on zero-shot TTS in intelligibility and audio similarity, with word error rates 5.9% vs 1.9% and audio similarity 0.580 vs 0.681.
- Voicebox operates in six languages, including German, and can translate text to audio across languages.
- Audioradiergummi is a Meta feature that removes a dog’s barking from audio without degrading the rest of the recording.
- Voicebox uses a Flow-Matching non-autoregressive model, enabling non-deterministic text-to-speech mappings and requiring less labeled training data.
- Meta states Voicebox model and code are not publicly available due to misuse risks and cites a classifier to distinguish authentic speech from Voicebox-generated audio.
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Related Market Signals & Shifts
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