File description

Please download test wave files from https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models

0-four-speakers-zh.wav

It is recorded by @csukuangfj

1-two-speakers-en.wav

This file is from https://github.com/pengzhendong/pyannote-onnx/blob/master/data/test_16k.wav and it contains speeches from two speakers.

Note that we have renamed it from test_16k.wav to 1-two-speakers-en.wav

2-two-speakers-en.wav

This file is from https://huggingface.co/spaces/Xenova/whisper-speaker-diarization

Note that the original file is ./fcf059e3-689f-47ec-a000-bdace87f0113.mp4. We use the following commands to convert it to 2-two-speakers-en.wav.

ffmpeg -i ./fcf059e3-689f-47ec-a000-bdace87f0113.mp4 -ac 1 -ar 16000 ./2-two-speakers-en.wav

3-two-speakers-en.wav

This file is from https://aws.amazon.com/blogs/machine-learning/deploy-a-hugging-face-pyannote-speaker-diarization-model-on-amazon-sagemaker-as-an-asynchronous-endpoint/

Note that the original file is ML16091-Audio.mp3. We use the following commands to convert it to 3-two-speakers-en.wav

sox ML16091-Audio.mp3 -r 16k 3-two-speakers-en.wav