A classification based approach to speech segregation

Journal of the Acoustical Society of America

Volumn 132, Issue 5, 2012, Pages 3475-3483

  Han, Kun ^a   Wang, Deliang ^a  

^a Ohio State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND NOISE; CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; CLASSIFICATION RESULTS; COMPUTATIONAL AUDITORY SCENE ANALYSIS; FALSE ALARM RATE; HIGH QUALITY; IDEAL BINARY MASK; INTRINSIC PROPERTY; SOUND SEGREGATION; SPEECH SEGREGATION; SYSTEMATIC EVALUATION; TARGET SPEECH; TIME FREQUENCY;

SPEECH COMMUNICATION; SPEECH INTELLIGIBILITY;

SPEECH PROCESSING;

ARTICLE; AUTOMATIC SPEECH RECOGNITION; CLASSIFICATION; COMPARATIVE STUDY; EVALUATION; FEMALE; HUMAN; MALE; NOISE; SIGNAL PROCESSING; SOUND DETECTION; SPEECH; SPEECH INTELLIGIBILITY; SUPPORT VECTOR MACHINE; TIME; VOICE;

FEMALE; HUMANS; MALE; NOISE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND SPECTROGRAPHY; SPEECH ACOUSTICS; SPEECH INTELLIGIBILITY; SPEECH RECOGNITION SOFTWARE; SUPPORT VECTOR MACHINES; TIME FACTORS; VOICE QUALITY;

EID: 84869105129     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.4754541     Document Type: Article

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