Predictions of diotic tone-in-noise detection based on a nonlinear optimal combination of energy, envelope, and fine-structure cues

Journal of the Acoustical Society of America

Volumn 134, Issue 1, 2013, Pages 396-406

  Mao, Junwen ^a   Vosoughi, Azadeh ^b   Carney, Laurel H ^a  

^a University of Rochester   (United States)

^b UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRICES; DETECTION PERFORMANCE; LIKELIHOOD-RATIO TEST; MODEL PREDICTION; NONLINEAR COMBINATION; NONLINEAR OPTIMAL; OPTIMAL DETECTORS; SIGNAL DETECTION THEORY;

COVARIANCE MATRIX; DETECTORS; OPTIMIZATION;

FORECASTING;

ARTICLE; ASSOCIATION; HEARING; HUMAN; NONLINEAR SYSTEM; PERCEPTION; PERCEPTIVE DISCRIMINATION; REACTION TIME; SOUND DETECTION; STATISTICAL MODEL;

CUES; HUMANS; LIKELIHOOD FUNCTIONS; NONLINEAR DYNAMICS; PERCEPTUAL MASKING; PITCH DISCRIMINATION; REACTION TIME; SIGNAL DETECTION, PSYCHOLOGICAL; SOUND SPECTROGRAPHY;

EID: 84880504048     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.4807815     Document Type: Article

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