https://github.com/scionoftech/speaker_diarization
speaker diarization using spectralcluster and Deeplearning
https://github.com/scionoftech/speaker_diarization
clustering speaker-diarization speech-recognition
Last synced: 12 months ago
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speaker diarization using spectralcluster and Deeplearning
- Host: GitHub
- URL: https://github.com/scionoftech/speaker_diarization
- Owner: scionoftech
- Created: 2020-07-07T09:26:12.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-07-07T09:28:57.000Z (almost 6 years ago)
- Last Synced: 2025-04-09T15:51:31.882Z (about 1 year ago)
- Topics: clustering, speaker-diarization, speech-recognition
- Language: Jupyter Notebook
- Homepage:
- Size: 188 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Speaker Diarization
Speaker Diarization is defined as the process of segmenting the input speech signal and grouped the homogenous regions with regard to the speaker identity. The main idea behind this system is that it is able to discriminate the speaker signal by assigning the label of the each speaker signal.