jakariaemon/WSI

Whisper Speaker Identification (WSI), a cutting-edge model for multilingual speaker identification.

27
/ 100
Experimental

This model helps identify who is speaking in an audio recording, even if multiple languages are used. You provide an audio file, and it tells you who spoke which parts by generating unique 'voice fingerprints' for each speaker. This is ideal for researchers or developers working with multilingual voice data who need to distinguish individual speakers reliably.

No commits in the last 6 months.

Use this if you need to identify and separate speakers in audio recordings, especially those containing multiple languages.

Not ideal if you are looking for a complete, out-of-the-box application for general user-facing speaker recognition, as this is a model for developers and researchers.

speaker-diarization voice-biometrics multilingual-audio speech-processing audio-analytics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 4 / 25

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26

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1

Language

Python

License

Last pushed

Mar 17, 2025

Commits (30d)

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