fast vc service

Features are continuously being updated. Stay tuned for our latest developments...

Fast-VC-Service aims to build a high-performance real-time streaming voice conversion cloud service designed for production environments. Based on the Seed-VC model, it supports WebSocket protocol and PCM/OPUS audio encoding formats.

• Real-time Conversion: Low-latency streaming voice conversion based on Seed-VC
• WebSocket API: Support for PCM and OPUS audio formats
• Performance Monitoring: Complete real-time performance metrics statistics
• High Concurrency: Multi-Worker concurrent processing, supporting production environments
• Easy Deployment: Simple configuration, one-click startup

# Clone project
git clone --recursive https://*gi*th*ub.com/Leroll/fast-vc-service.git
cd fast-vc-service

# Configure environment
cp .env.example .env

# Install dependencies (Poetry recommended)
poetry install

# Start service
fast-vc serve

# WebSocket real-time voice conversion
python examples/websocket/ws_client.py 
    --source-wav-path "wavs/sources/low-pitched-male-24k.wav" 
    --encoding PCM

For detailed installation and usage guide, please refer to Quick Start documentation.

• Time unit: milliseconds (ms)
• View detailed test report:
  • Performance-Report_4090D
  • Performance-Report_1080ti

2025-07-02 - v0.1.3: Added Process and Instance Level Concurrency Monitoring

• Added PID record to logs for easier instance tracking
• Added instance concurrency monitoring feature for real-time concurrency viewing
• Optimized performance analysis interface to reduce impact on real-time performance

2025-06-26 - v0.1.2: Persistent Storage Optimization

• Optimized session persistent storage module with asynchronous processing
• Separated time-consuming timeline statistical analysis module to improve response speed
• Optimized timeline recording mechanism to reduce storage overhead

2025-06-19 - v0.1.1: First Packet Performance Optimization

• Added performance monitoring API endpoint /tools/performance-report for real-time performance metrics
• Enhanced timing logs for better performance bottleneck analysis
• Mitigated delay issue caused by first audio packet model invocation

• tag - v0.2 - Improve inference efficiency, reduce RTF - v2025-xx
  • Optimize timeline_lognize, add delay items for same events
  • Add SLOW tags in logs for monitoring receive interval, send interval, and VC-E2E latency
  • Optimize session tool's file naming
  • Add adaptive pitch extraction functionality with corresponding toggle switch
  • Change VAD to use ONNX-GPU to improve inference speed
  • Complete support for seed-vc V2.0 model
  • Explore solutions to reduce model inference latency (e.g., new model architectures, quantization, etc.)
  • Use torchaudio to directly read reference audio to GPU, eliminating transfer steps
  • Fix file_vc issue with the last block
  • Create Docker image, AutoDL image

• Seed-VC - Provides powerful underlying voice conversion model
• RVC - Provides basic streaming voice conversion pipeline