PCA-PMC: A novel use of a priori knowledge for fast parallel model combination

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

Volumn 2, Issue , 2000, Pages 1113-1116

  Sarikaya, Ruhi ^a   Hansen, John H L ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; COMPUTATIONAL COMPLEXITY; ECONOMIC AND SOCIAL EFFECTS; INVERSE PROBLEMS; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; SIGNAL PROCESSING; SPEECH RECOGNITION; STRAIN MEASUREMENT; VECTOR SPACES; COSINE TRANSFORMS; EIGENVALUES AND EIGENFUNCTIONS; ENCODING (SYMBOLS); MATHEMATICAL MODELS; PARALLEL ALGORITHMS; VECTORS;

COMPUTATIONAL SAVINGS; CONTEXT INDEPENDENT; EXPERIMENTAL EVALUATION; LINEAR COMBINATIONS; PARALLEL MODEL COMBINATIONS; PHONE RECOGNITION; PROTOTYPE VECTORS; ROBUST SPEECH RECOGNITION;

PRINCIPAL COMPONENT ANALYSIS; SPEECH RECOGNITION;

PARALLEL MODEL COMBINATION; PRINCIPAL COMPONENT ANALYSIS;

EID: 0033693023     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.859159     Document Type: Conference Paper

References (10)

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