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Miso TTS 8B

Model Introduction

Miso TTS 8B is a text-to-speech model based on the Sesame CSM architecture. It generates Mimi audio codes from text and optional audio context, using a large Llama 3.2-style backbone and a smaller autoregressive audio decoder.

The model is designed for high-quality conversational speech generation and voice continuation from prompt audio. This repository contains the inference code, model definition, and setup instructions for running Miso TTS locally.

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Quickstart

To run the model, use the inference code at our public repository, or try our demo at misolabs.ai.

Model Summary

Architecture

Miso TTS 8B uses two transformer components:

• A large backbone transformer that consumes text/audio-frame embeddings.
• A smaller decoder transformer that autoregressively predicts higher-order audio codebooks within each frame.

Codebook 0 is predicted from the backbone hidden state, while codebooks 1 through 31 are predicted by the audio decoder autoregressively in codebook depth.

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Links

• Website: misolabs.ai
• Hugging Face: MisoLabs/MisoTTS
• GitHub: MisoLabsAI
• X: @MisoLabsAI