Comments (1)
milind-soni
commented on August 11, 2024
I'm not sure if this is a bug, but I tried running the docker diarization example on a 1 hour audio containing 4 speakers. The
spk-diarization2.pyscript ran for 3 hours consuming 100% of my CPU, and still hadn't completed, so I had to kill the container and abort the evaluation. Is that normal performance or should it have completed in that time?I've tested other diarization tools on the same file, and they normally complete in about 1/4 of the file's length, or about 15 minutes for a 1 hour long file.
Hey which diarization tool did you use for a 1 hour long file.
from speaker-diarization.
Related Issues (15)
- Issue with Running Audio File HOT 3
- Docker Image for Speech Diarization HOT 3
- separate `.wav` files per speaker HOT 2
- Can I recognize only one speaker? HOT 2
- Tunable Parameters HOT 4
- OSError: [Errno 2] No such file or directory HOT 1
- WAV files format HOT 4
- Dockerfile is missing the step to install ffmpeg HOT 1
- Questions about BIC distance calculation HOT 1
- DockerHub-hosted image not up to date HOT 1
- I want to make a wav file using stdout, how can i make? HOT 5
- Speed is too slow. Is this docker can use gpu? HOT 1
- Building my own model HOT 3
- UnboundLocalError: local variable 'feas' referenced before assignment HOT 2
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from speaker-diarization.