Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation

Dong Yu, Morten Kolbæk, Zheng-Hua Tan +1

We propose a novel deep learning model, which supports permutation invariant training (PIT), for speaker independent multi-talker speech separation, commonly known as the cocktail-…