Comments (1)
greedy search over the scores for each system until the development cost plateaued. It's described in the paper. I didn't include the code since it is not written by me.
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Related Issues (20)
- It is easy to overfit HOT 1
- logspec feature extraction from run_features.sh HOT 1
- example of utt2systemID
- the missing bash script ‘make_spectrogram.sh’ HOT 16
- post() function for class analysis
- can you give me some guidance on how to use Bosaris toolkit HOT 1
- run_feature.sh: line 46: utils/copy_data_dir.sh: No such file or directory
- utt2systemID_file?
- Initialization has great impact on detection performance? HOT 1
- Parameters/Configurations of the pretrained models
- Docker availability?
- How to create .scp and utt2spk
- Question related to run_feature.sh HOT 6
- No such file or directory: u'data_reader/feats/la_dev_spec_tensor4.scp' HOT 1
- problem in main.py HOT 3
- the pretrained/pa/senet34 is binary_class? HOT 3
- How using python to get the logspec? HOT 1
- the problem of training model by SENet34 HOT 5
- focal_loss can help decrease the eer? HOT 1
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