3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.SD2019★ 3 cited
Interrupted and cascaded permutation invariant training for speech separation
Gene-Ping Yang, Szu-Lin Wu, Yao-Wen Mao +2
Permutation Invariant Training (PIT) has long been a stepping stone method for training speech separation model in handling the label ambiguity problem. With PIT selecting the mini…
cs.SD2019★ 3 cited
Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering
Gene-Ping Yang, Chao-I Tuan, Hung-Yi Lee +1
Speech separation has been very successful with deep learning techniques. Substantial effort has been reported based on approaches over spectrogram, which is well known as the stan…