Deep clustering: Discriminative embeddings for segmentation and separation

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 31 - 35
• Main Authors: Hershey, John R., Zhuo Chen, Le Roux, Jonathan, Watanabe, Shinji
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.03.2016
• Subjects: Affinity; Clustering; deep learning; Electronics; embedding; Indexes; Machine learning; Networks; Neural networks; Segmentation; Separation; Spectrogram; Spectrograms; Speech; speech separation; Time-frequency analysis; Training

We address the problem of "cocktail-party" source separation in a deep learning framework called deep clustering. Previous deep network approaches to separation have shown promising performance in scenarios with a fixed number of sources, each belonging to a distinct signal class, such as...