Deep learning for monaural speech separation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 1562-1566

  Huang, Po Sen ^a   Kim, Minje ^b   Hasegawa Johnson, Mark ^a   Smaragdis, Paris ^a,b,c  

^a University of Illinois at Urbana Champaign   (United States)

^b Department of Computer Science University of Illinois at Urbana Champaign ^*  (United States)

^c ADOBE RESEARCH   (United States)

Author keywords

Deep Learning; Monaural Source Separation; Time Frequency Masking

Indexed keywords

RECURRENT NEURAL NETWORKS; SOURCE SEPARATION;

DEEP LEARNING; DEEP NEURAL NETWORKS; DISCRIMINATIVE TRAINING; JOINT OPTIMIZATION; SEPARATION PERFORMANCE; SPEECH CORPORA; SPEECH SEPARATION; TIME-FREQUENCY MASKING;

SPEECH ANALYSIS;

EID: 84905240926     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6853860     Document Type: Conference Paper

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