A feature study for classification-based speech separation at very low signal-to-noise ratio

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

Volumn , Issue , 2014, Pages 7039-7043

  Chen, Jitong ^a   Wang, Yuxuan ^a   Wang, Deliang ^a,b  

^a The Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

ARMA filtering; classification; multiresolution cochleagram; Speech separation

Indexed keywords

ACOUSTIC NOISE; CLASSIFICATION (OF INFORMATION); SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPEECH RECOGNITION;

ARMA FILTERING; COCHLEAGRAM; LOW SIGNAL-TO-NOISE RATIO; NEURAL NETWORK CLASSIFIER; POST-PROCESSING TECHNIQUES; ROBUST SPEECH RECOGNITION; SEPARATION PERFORMANCE; SPEECH SEPARATION;

SPEECH ANALYSIS;

EID: 84905233552     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854965     Document Type: Conference Paper

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