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When translating across languages, Voicebox outperformed a well-regarded multilingual text-to-speech AI, YourTTS, reducing the average word error rate from 10.9 percent to 5.2 percent, and upping the ratio for audio similarity from 0.335 to 0.481.
0.681) while being, according to Meta, nearly 20 times faster. It also has a higher ratio for producing audio similarity (0.580 vs. Voicebox, they said, produced artificial audio that was more intelligible, scoring a lower 1.9 percent word error rate compared to their competitor's 5.9 percent. Meta's deep learning AI researchers noted in their post introducing Voicebox that their system utilizes a method called Flow Matching, which has scored better than diffusion models used by the current state-of-the-art systems, like VALL-E and zero-shot text-to-speech.
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