Jointly trains deep clustering embeddings with uPIT plus discriminative fine-tuning to report better speaker-independent separation than either baseline alone on WSJ0-2mix.
From DC net- work [12] we can know that clusters in the deep embedding space can represent the inferred spectral masking patterns of individual sources
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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.