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Pyannote Segmentation

Developed by it-just-works
This is a speaker segmentation model based on powerset encoding, capable of processing 10-second audio clips and identifying multiple speakers and their overlapping situations.
Downloads 771
Release Time : 4/10/2025

Model Overview

This model is used for speaker segmentation in audio, detecting up to 3 speakers and their overlaps, outputting 7 possible speaker combination states.

Model Features

Powerset Encoding
Uses a unique powerset encoding method to handle multi-speaker scenarios, simultaneously identifying individual speakers and overlapping speakers.
Multi-task Support
The same model can be used for speaker segmentation, voice activity detection, and overlapping speech detection.
Efficient Processing
Optimized for 10-second audio clips, suitable for real-time or batch processing.

Model Capabilities

Speaker segmentation
Voice activity detection
Overlapping speech detection
Multi-speaker recognition

Use Cases

Meeting Transcription
Meeting Speech Transcription
Automatically identifies different speakers and their speaking times in meetings.
Accurately segments speech segments of each speaker.
Speech Analysis
Overlapping Speech Detection
Detects situations where multiple people speak simultaneously in conversations.
Identifies overlapping speech segments.
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