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Implement of "Deep Clustering Discriminative Embeddings for Segmentation and Separation"

see requirements.txt

1. Configure experiments in .yaml files, for example: train.yaml

2. Training:

   python ./train_dcnet.py --config conf/train.yaml --num-epoches 20 > train.log 2>&1 &

3. Inference:

   python ./separate.py --num-spks 2 $mdl_dir/train.yaml $mdl_dir/final.pkl egs.scp
   

1. Hershey J R, Chen Z, Le Roux J, et al. Deep clustering: Discriminative embeddings for segmentation and separation[C]//Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on. IEEE, 2016: 31-35.
2. Isik Y, Roux J L, Chen Z, et al. Single-channel multi-speaker separation using deep clustering[J]. arXiv preprint arXiv:1607.02173, 2016.