Comments (1)
채널의 개수는 16-32-64-128로 설정 할수도 있고, 32-64-128-256으로도 할수도 있고, 64-128-256-512로 할수도 있습니다.
현 코드에서는 데이터 양이 적기 때문에 모델의 사이즈를 작게 설정하였습니다.
말씀하신 것처럼 gpu의 한계로 인해 모델의 사이즈가 결정될 수도 있습니다.
본인의 상황에 맞게 설정하시면 될 것 같습니다.
from speakerrecognition_tutorial.
Related Issues (20)
- 1,2달 전에 질문 올렸던 프로젝트 진행자입니다. HOT 7
- enroll_per_spk does not average HOT 1
- TruncatedInputfromMFB HOT 1
- Is there any related papers for this code as a reference? HOT 1
- Can you provide how to convert wav to .p file HOT 6
- Error HOT 1
- verifification.py HOT 24
- Error HOT 1
- remove denoising noise HOT 1
- ValueError: threshold must be non-NAN HOT 1
- train with own dataset HOT 1
- configure.py 부분에서 궁금한 점이 있습니다. HOT 2
- run train.py error HOT 4
- performance HOT 7
- Extract embedding from the .wav HOT 2
- Features Computation HOT 1
- train.py 오류 HOT 2
- (EPOCH_DEPRECATION_WARNING, UserWarning)오류 HOT 17
- how to calculate EER in this code? HOT 2
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