Solutions to Reduce STT Latency
Latency is a key factor affecting the user experience when dealing with real-time speech-to-text (STT).Kyutai's delayed-streams-modeling project achieves latency as low as 0.5 seconds by..:
- DSM Technical Architecture: Reduction of 301 TP3T latency compared to traditional Whisper models through time-aligned audio and text stream processing using Delayed Stream Modeling (DSM) technology
- Semantic VAD OptimizationIntelligent voice activity detection can accurately determine the user's speech pause and dynamically adjust the buffer to avoid ineffective waiting time.
- Flush trick acceleration: triggers processing as soon as the end of speech is detected, reducing latency from 500 ms to 125 ms
- Model Selection Recommendations:: 1B parametric model (kyutai/stt-1b-en_fr) optimized for latency, 2.6B parametric model more accurate but slightly longer latency
For production environments, configure 64 Parallel Stream Processing (L40S GPUs) via Rust server and ensure stable network bandwidth (≥10Mbps recommended).The MLX version further reduces 20% latency by disabling background apps when running on an iPhone.
This answer comes from the articleKyutai: Speech to text real-time conversion toolThe
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