Szu-Lin Wu

Interrupted and Cascaded Permutation Invariant Training for Speech Separation

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 minimum cost label assignments dynamically, very few studies considered the separation problem to be optimizing both the mod…