An SVM based classification approach to speech separation

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

Volumn , Issue , 2011, Pages 4632-4635

  Han, Kun ^a   Wang, DeLiang ^a  

^a The Ohio State University   (United States)

Author keywords

IBM; Re thresholding; Segmentation; Speech separation; SVM

Indexed keywords

ACOUSTIC FEATURES; BINARY MASKS; CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; FEATURE SETS; HIGH QUALITY; IBM; MODULATION SPECTRUM; RE-THRESHOLDING; SEPARATION PROBLEMS; SPEECH SEPARATION; SVM; SYSTEMATIC EVALUATION; TIME FREQUENCY; UNVOICED SPEECH;

CONTINUOUS SPEECH RECOGNITION; SIGNAL PROCESSING; SPEECH ANALYSIS; SUPPORT VECTOR MACHINES;

SPEECH COMMUNICATION;

EID: 80051643459     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947387     Document Type: Conference Paper

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