Kyutai Labs Releases Open-Source Real-Time Voice Synthesis Technology

French AI research institute Kyutai Labs has made its breakthrough text-to-speech (TTS) technology publicly available through open-source channels. The newly released Kyutai TTS system offers developers an efficient solution for real-time voice generation with remarkably low latency.

Technical Specifications and Performance

The system demonstrates exceptional capabilities:

• Processes 32 simultaneous requests on a single NVIDIA L40S GPU
• Maintains latency of just 350 milliseconds
• Generates high-fidelity audio while providing precise word-level timestamps
• Supports streaming text input, eliminating the need for complete text before audio generation begins

"This architecture is particularly suited for real-time interaction scenarios," noted the development team. The timestamp feature enables applications like live captioning and advanced interactive functions similar to Unmute's interruption handling.

Language Support and Quality Metrics

Current language capabilities include:

• English: 2.82% Word Error Rate (WER), 77.1% speaker similarity
• French: 3.29% WER, 78.7% speaker similarity

The technology also breaks traditional TTS limitations by handling extended content beyond the typical 30-second constraint, making it ideal for news articles or audiobook generation.

Architectural Innovation

Kyutai TTS utilizes a Delayed Streaming Model (DSM) architecture paired with:

• Efficient batch processing through Rust-based servers
• Open-source model weights available on GitHub and Hugging Face

The complete package allows developers worldwide to implement and enhance the technology across various voice applications.

Key Points:

1. Real-time performance: 350ms latency with streaming text support
2. Multilingual capability: Currently supports English and French with high accuracy
3. Extended content handling: Breaks traditional 30-second TTS limitations
4. Open accessibility: Full codebase and model weights available on major platforms