Optimization schemes for low latency speech generation
Orpheus-TTS achieves professional-grade, low-latency speech generation capabilities, which makes it particularly well-suited for real-time interaction scenarios.
Key Performance Indicators:
- Base delay of about 200 milliseconds
- Optimized latency down to 100 ms
- Streaming processing supports continuous voice output
The optimization techniques used in the system include:
- KV caching mechanism reduces double counting
- Input data streaming preloading
- Incremental acoustic modeling inference
- Efficient GPU memory management
Suggested Optimized Configuration Scenarios:
- Use NVIDIA A100 or higher performance GPUs
- Efficient reasoning backend with vLLM enabled
- Adjust batch size to 1
- Turn off non-essential post-processing
The Flask API samples have been shown to achieve consistently low latency in real web applications.
This answer comes from the articleOrpheus-TTS: Text-to-Speech Tool for Generating Natural Chinese SpeechThe
May not be reproduced without permission:AI productivity tools " Real-Time Speech Generation Latency Optimized to 100 ms for Orpheus-TTS
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