https://github.com/parva101/speaker_diarization_identification
A Streamlit web app for speaker diarization and identification in audio files. Upload or record audio, transcribe conversations, and automatically segment and label speakers using reference samples. This app makes it easy to analyze multi-speaker audio, export transcripts, and identify "who spoke when" for meetings, interviews, and more.
https://github.com/parva101/speaker_diarization_identification
assembly-ai speaker-diarization speaker-identification speaker-verification speechbrain transcription voiceai
Last synced: 2 months ago
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A Streamlit web app for speaker diarization and identification in audio files. Upload or record audio, transcribe conversations, and automatically segment and label speakers using reference samples. This app makes it easy to analyze multi-speaker audio, export transcripts, and identify "who spoke when" for meetings, interviews, and more.
- Host: GitHub
- URL: https://github.com/parva101/speaker_diarization_identification
- Owner: Parva101
- License: mit
- Created: 2025-06-26T17:25:14.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-07-22T18:26:04.000Z (11 months ago)
- Last Synced: 2025-07-22T20:27:48.377Z (11 months ago)
- Topics: assembly-ai, speaker-diarization, speaker-identification, speaker-verification, speechbrain, transcription, voiceai
- Language: Python
- Homepage: https://speaker-diarization-identification.streamlit.app/
- Size: 43.9 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: