Voice Recognition

Moshi – speech-text foundation model and full-duplex spoken dialogue framework

Moshi is a speech-text foundation model and full-duplex spoken dialogue framework.

It’s designed for real-time spoken interaction and uses Mimi, a streaming neural audio codec, to handle low-latency audio processing. The project includes multiple inference stacks for different use cases, covering PyTorch for research, MLX for on-device inference on Apple hardware, Rust for production deployments, and a web client used for the live demo.

Mimi is a neural audio codec that processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps).

This is free and open source software.

Key Features

  • Provides a speech-text foundation model for real-time dialogue.
  • Supports full-duplex spoken interaction.
  • Uses the Mimi streaming neural audio codec for low-latency audio processing.
  • Includes PyTorch, MLX, and Rust inference stacks for research, on-device use, and production deployment.
  • Offers on-device inference support for iPhone and Mac through MLX.
  • Includes a web UI client for interactive browser-based use.
  • Can run related Kyutai multi-stream models including simultaneous speech translation and speech generation systems.

Website: moshi.chat
Support:
Developer: Kyutai Labs
License: Apache License 2.0 / MIT License

Moshi is written in Python and Rust. Learn Python with our recommended free books and free tutorials.


Related Software

Speech Tools
PiperFast, local neural text to speech system
TortoiseMulti-voice text-to-speech system trained with an emphasis on quality
Coqui TTSOffers pretrained models in more than 1,100 different languages
BarkTransformer-based text-to-audio model.
FestivalGeneral multi-lingual speech synthesis system
PraatSpeechAnalyserSoftware for speech analysis and synthesis
Speech NoteSpeech to Text, Text to Speech and Machine Translation
Mimic 3Lightweight Text to Speech engine
OrcaScreenReaderScriptable screen reader
FliteSmall, fast run time text to speech synthesis engine
RHVoiceGives the visually impaired a synthesis voice with their screen reader
eSpeak NGContinuation of the eSpeak project
eSpeakSpeech synthesizer using a formant synthesis method
GespeakerGTK-based frontend for eSpeak

Read our verdict in the software roundup.


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