Analysis of a simplified normalized covariance measure based on binary weighting functions for predicting the intelligibility of noise-suppressed speech

Journal of the Acoustical Society of America

Volumn 128, Issue 6, 2010, Pages 3715-3723

  Chen, Fei ^a   Loizou, Philipos C ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LOW CORRELATION; NORMAL-HEARING LISTENERS; NORMALIZED COVARIANCE; SPECTRAL INFORMATION; SUPPRESSION ALGORITHM; WEIGHTING FUNCTIONS;

AUDITION; DIGITAL FILTERS;

SPEECH INTELLIGIBILITY;

ALGORITHM; ARTICLE; AUDITORY NERVOUS SYSTEM; AUDITORY STIMULATION; HUMAN; NOISE; PERCEPTION; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; SOUND DETECTION; SPEECH; SPEECH INTELLIGIBILITY; SPEECH PERCEPTION; STATISTICAL MODEL; TIME; TRAFFIC NOISE;

ACOUSTIC STIMULATION; ALGORITHMS; AUDITORY PATHWAYS; HUMANS; MODELS, STATISTICAL; NOISE; NOISE, TRANSPORTATION; PERCEPTUAL MASKING; SIGNAL DETECTION, PSYCHOLOGICAL; SOUND SPECTROGRAPHY; SPEECH ACOUSTICS; SPEECH INTELLIGIBILITY; SPEECH PERCEPTION; TIME FACTORS;

EID: 79952172622     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.3502473     Document Type: Article

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