tts 1.6b en fr EU AI Act Compliance Profile

Model Card for Kyutai TTS

See also the pre-print research paper, the project page, the Colab example, the GitHub repository, and the repository of voices.

This is a model for streaming text-to-speech (TTS). Unlike offline text-to-speech, where the model needs the entire text to produce the audio, our model starts to output audio as soon as the first few words from the text have been given as input. This model is actually 1.8B parameters, not 1.6B as the name might suggest.

Model Details

The model architecture is a hierarchical Transformer that consumes tokenized text and generateds audio tokenized by Mimi, see the Moshi paper. The frame rate is 12.5 Hz and each audio frame is represented by 32 audio tokens, although you can use less tokens at inference time for faster generation. The backbone model is 1B parameters, and the depth transformer is 600M parameters and uses partial weight sharing similar to Hibiki. The audio is shifted by 16 steps (1.28 sec.) with respect to the text, and the model uses an acoustic/semantic delay of 2.

Model Description

Kyutai TTS is a decoder-only model for streaming speech-to-text. It leverages the multistream architecture of Moshi to model text stream based on the speech stream. The text stream is shifted w.r.t. the audio stream to allow the model to predict text tokens based on the input audio.

• Developed by: Kyutai
• Model type: Streaming Text-To-Speech.
• Language(s) (NLP): English and French
• License: Model weights are licensed under CC-BY 4.0
• Repository: GitHub

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