# Overlapping speech detection

A speaker diarization model modified based on pyannote/speaker-diarization-3.0, using speechbrain/spkrec-ecapa-voxceleb for speaker embedding, with better performance in certain tests

Pyannote audio speaker segmentation pipeline for automatically detecting and segmenting different speakers in audio

This is a speaker diarization model fine-tuned from the pyannote/segmentation-3.0 base model, specifically optimized for Japanese telephone conversation scenarios.

Pyannote.audio's speaker diarization pipeline for automatic detection and segmentation of different speakers in audio

The speaker diarization pipeline of Pyannote.audio, used to automatically detect speaker changes in audio and segment speech segments.

An audio processing model for speaker segmentation that can automatically detect and segment different speakers in audio.

Speaker diarization pipeline trained on pyannote.audio 3.0.0, supporting automatic voice activity detection, speaker change detection and overlapping speech detection

Speaker diarization model based on pyannote.audio 2.0 for automatic detection of speaker changes and speech activity in audio

Speaker segmentation model based on pyannote.audio, used to detect speaker changes and speech activity in audio