Jointly trains deep clustering embeddings with uPIT plus discriminative fine-tuning to report better speaker-independent separation than either baseline alone on WSJ0-2mix.
It is a very challeng- ing task, which is known as the cocktail party problem [1]
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Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
Jointly trains deep clustering embeddings with uPIT plus discriminative fine-tuning to report better speaker-independent separation than either baseline alone on WSJ0-2mix.