Core features of Kyutai's delayed-streams-modeling project
Delayed-streams-modeling from Kyutai Labs is indeed an open-source framework based on the Apache 2.0 protocol, and its core technology is Delayed Stream Modeling (DSM). The project provides a full GitHub codebase and detailed documentation for three implementations, including PyTorch, Rust and MLX. This open source nature allows researchers and enterprises to freely customize and optimize the model, avoiding the privacy and cost issues of commercial APIs.
The framework adopts a modern architectural design to support end-to-end speech-to-text (STT) and text-to-speech (TTS) processing flows. Particularly noteworthy is that its codebase follows the principle of modularity, and core components such as audio processing, neural network models, and streaming interfaces are pluggable, making it easy for developers to replace specific modules.
The project documentation details complete information from model architecture to API usage, including pre-training model weight download methods, inference parameter tuning guidelines, and production deployment instructions. This system-level open source solution significantly lowers the threshold for speech technology applications.
This answer comes from the articleKyutai: Speech to text real-time conversion toolThe
