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Embedding Gemma 2-assisted speech generation reportedly reaches 79.5x real-time speed
The experimenter says EG2 embeddings guide prosody; a small model and Vocos vocoder produce the voice.
TLDR
A developer says their speech-generation experiment uses Embedding Gemma 2’s semantic word embeddings to plan prosody, a small model to generate an audio representation and a Vocos vocoder to reconstruct speech. They report producing 1,000 tokens in 3.8 seconds—79.5x real-time speed—on a base M3 Air, while noting the quality is not close to the best in the industry.
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