Feature extraction using non-linear transformation for robust speech recognition on the Aurora database

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

Volumn 2, Issue , 2000, Pages 1117-1120

  Sharma, Sangita ^a,c   Ellis, Dan ^b   Kajarekar, Sachin ^a   Jain, Pratibha ^a   Hermansky, Hynek ^a,b  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^b INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^c INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; METADATA; MODULATION; SIGNAL PROCESSING; SPEECH RECOGNITION; BIT ERROR RATE; DATABASE SYSTEMS; NEURAL NETWORKS; SPEECH ANALYSIS;

AURORA DATABASE; CEPSTRAL COEFFICIENTS; HMM BASED RECOGNITION SYSTEMS; LATENCY CONSTRAINTS; LINEAR PREDICTIVE COEFFICIENTS; NON-LINEAR TRANSFORMATIONS; ROBUST SPEECH RECOGNITION; TEMPORAL PATTERN;

LINEAR TRANSFORMATIONS; SPEECH RECOGNITION;

AURORA DATABASE; MEL FREQUENCY CEPSTRAL COEFFICIENTS; NONLINEAR TRANSFORMATION;

EID: 0033692739     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.859160     Document Type: Conference Paper

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