Project Title
moshi — A Full-Duplex Spoken Dialogue Framework with State-of-the-Art Speech-Text Model
Overview
Moshi is a full-duplex spoken dialogue framework that leverages a speech-text foundation model and utilizes Mimi, a state-of-the-art streaming neural audio codec. It stands out for its real-time dialogue capabilities and low latency, making it suitable for applications requiring immediate and accurate speech processing.
Key Features
- Full-duplex spoken dialogue framework for real-time interaction
- Integration with Mimi, a streaming neural audio codec for efficient audio processing
- Supports multiple versions of the Moshi inference stack for different use cases (PyTorch, MLX, Rust)
Use Cases
- Real-time speech-to-text and text-to-speech applications
- Simultaneous speech translation systems
- On-device inference for iPhone and Mac, leveraging the MLX implementation
Advantages
- Achieves a theoretical latency of 160ms, with practical latency as low as 200ms on an L4 GPU
- Predicts text tokens corresponding to its own speech, improving the quality of its generation
- Utilizes a multi-stream architecture for more accurate and efficient processing
Limitations / Considerations
- The project's license is currently unknown, which may affect its use in commercial applications
- The framework may require significant computational resources for optimal performance, particularly for real-time applications
Similar / Related Projects
- Hugging Face Transformers: A library of pre-trained models for Natural Language Processing, differing in that it focuses on text-based models rather than speech-text models.
- Mozilla DeepSpeech: An open-source speech-to-text engine, differing in that it is not a full-duplex system and does not integrate a neural audio codec like Mimi.
- Kaldi: A toolkit for speech recognition research, differing in that it is more focused on research and does not offer the same level of real-time interaction capabilities as Moshi.
Basic Information
- GitHub: https://github.com/kyutai-labs/moshi
- Stars: 8,961
- License: Unknown
- Last Commit: 2025-10-01
📊 Project Information
- Project Name: moshi
- GitHub URL: https://github.com/kyutai-labs/moshi
- Programming Language: Python
- ⭐ Stars: 8,961
- 🍴 Forks: 797
- 📅 Created: 2024-08-07
- 🔄 Last Updated: 2025-10-01
🏷️ Project Topics
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