Noise adaptive speech recognition based on sequential noise parameter estimation

Speech Communication

Volumn 42, Issue 1, 2004, Pages 5-23

  Yao, Kaisheng ^a,c   Paliwal, Kuldip K ^a,b   Nakamura, Satoshi ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b GRIFFITH UNIVERSITY   (Australia)

^c UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

Expectation maximization algorithm; Kullback proximal algorithm; Noisy speech recognition; Non stationary noise

Indexed keywords

ACOUSTIC NOISE; ACOUSTIC VARIABLES CONTROL; ALGORITHMS; APPROXIMATION THEORY; DISTORTION (WAVES); FUNCTIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO;

CHANNEL DISTORTION; MULTI-CONDITIONAL TRAINING; NON STATIONARY NOISE;

SPEECH RECOGNITION;

EID: 0347269187     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2003.09.002     Document Type: Conference Paper

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