Comments (2)
Refer to the end of page 19 in my thesis.
EER evaluation was probably the shakiest part of my work, mainly because I couldn't find details of the procedure in the literature. If you're looking to have a metric to report in an academic context, I'd highly recommend you reproduce it on your own. And if you do, I'm interested in the results.
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Related Issues (20)
- Install issue HOT 1
- End-to-end trainable model HERE
- Async and parallel processing
- After diarization, The timestamps I got are irrelevants from original file HOT 3
- The Ability of Speaker Diarization with More Than 2 Speakers HOT 3
- Speaker Verification HOT 2
- Error while trying to plot speaker similarity in Resemblyzer
- Diarization Graph Issue HOT 1
- About pre-trained model HOT 2
- How to get time stamps for every speaker change?
- MATPLOTLIB FIGURES NOT DISPLAYING..How to solve this please help.. HOT 2
- New release plans to include latest changes? HOT 5
- Error while using Resemblyzer HOT 2
- Getting different speaker embeddings from same wav file on different machine HOT 2
- Speech Diarization
- Using VoiceEncoder as loss with time domain models
- AttributeError: module 'numpy' has no attribute 'bool'.
- What license does resemblyzer fall under? HOT 1
- RuntimeError: cuDNN error: CUDNN_STATUS_VERSION_MISMATCH
- is this speaker embedding better than X-vector?
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from resemblyzer.