Speaker Diarization

This page describes how to use sherpa-onnx for speaker diarization.

Pre-trained models for speaker segmentation can be found at https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models

Pre-trained models for speaker embedding extraction can be found at https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models

In the following, we describe different programming language APIs for speaker diarization.

• Pre-trained models
  • Colab notebook
  • sherpa-onnx-pyannote-segmentation-3-0
    • Download the model
    • Usage for speaker diarization
      • 3D-Speaker + model.onnx
      • 3D-Speaker + model.int8.onnx
      • NeMo + model.onnx
      • NeMo + model.int8.onnx
  • sherpa-onnx-reverb-diarization-v1
    • Download the model
    • Usage for speaker diarization
      • 3D-Speaker + model.onnx
      • 3D-Speaker + model.int8.onnx
      • NeMo + model.onnx
      • NeMo + model.int8.onnx
• Hugginface space for speaker diarization
• Android APKs for speaker diarization
• C API examples
• C++ API examples
• C# API examples
• Dart API examples
• Go API examples
• Java API examples
• JavaScript API examples
  • WebAssembly based npm package
  • node-addon based npm package
• Kotlin API examples
• Pascal API examples
• Python API examples
• Rust API examples
• Swift API examples