A factorial HMM approach to simultaneous recognition of isolated digits spoken by multiple talkers on one audio channel

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

Volumn 1, Issue , 2004, Pages

  Deoras, Ameya Nitin ^a   Hasegawa Johnson, Mark ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SIGNALS; HIDDEN MARKOV MODEL (HMM); MULTIPLE DIGIT RECOGNITION SYSTEMS;

APPROXIMATION THEORY; COMPUTATIONAL METHODS; MARKOV PROCESSES; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; SIGNAL TO NOISE RATIO;

SPEECH RECOGNITION;

EID: 4544369701     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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5. S.B. Davis and P. Mermelstein, "Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences," IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. ASSP-28, No. 4, August 1980.
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8. K. Murphy, "Hidden Markov Model (HMM) Toolbox for Matlab," online at http://www.ai.mit.edu/~murphyk/Software/HMM/hmm.html.