Welcome to Wespeaker’s documentation!

Wespeaker is an Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit.

Contents:

• Python Package
  • Install
  • Command Line Usage
  • Python Programming Usage
• How to train models?
  • SV Tutorial on VoxCeleb v2 (Supervised)
  • SV Tutorial on VoxCeleb v3 (Self-Supervised)
  • Diarization Tutorial on VoxConverse v2
• Pretrained Models in Wespeaker
  • Model License
  • Onnx Inference Demo
  • Model List
• Runtime for Wespeaker
  • Platforms Supported
  • Onnxruntime
  • Server (tensorrt gpu)
• Reference
  • Wespeaker Papers
  • Speaker Recognition Papers
  • Papers Implemented in WeSpeaker
  • Python API Reference
• Contributing to Wespeaker
  • Issue Reporting
  • Coding Style Guide
  • Pull Requests
  • Code Reviews
  • Thank You

Indices and tables

• Index

• Module Index

• Search Page