Why TTS Models Now Look Like LLMs — Samuel Humeau, Mistral
May 9, 2026 · 22:26
Mistral AI scientist Samuel Humeau explains why text-to-speech models now resemble LLMs, using an autoregressive transformer with neural audio codecs to compress 200 kbps audio into ~500 tokens per second. He demos Mistral's open-weight TTS model, cloning a voice from a few seconds of reference audio and generating speech with 17 ms first-token latency via frame-by-frame streaming. The talk covers the codec-backbone-decoder pipeline, the model's 4B-parameter backbone generating 37 tokens per 80 ms frame via a diffusion decoder, and a live voice agent answering conference schedule questions. Humeau notes the next latency win is handling streaming text input from an LLM, with no settled architecture yet, while keeping the encoder for voice cloning proprietary.
