A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces

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

Volumn 2, Issue , 2000, Pages 717-720

  Baggenstoss, P M ^a  

^a NAVAL UNDERSEA WARFARE CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENSITY FUNCTIONAL THEORY; MARKOV PROCESSES; PROBABILITY DENSITY FUNCTION; SIGNAL PROCESSING; TRELLIS CODES; WHITE NOISE; ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS;

BAUM-WELCH ALGORITHMS; COMMON FEATURES; DATA EXAMPLES; HIGH-DIMENSIONAL; LIKELIHOOD RATIOS; OBSERVATION SPACE; PROBABILITY DENSITY FUNCTIONS (PDFS); SUFFICIENT STATISTICS;

HIDDEN MARKOV MODELS; SIGNAL PROCESSING;

BAUM-WELCH ALGORITHM; HIDDEN MARKOV MODEL;

EID: 0033708872     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.859060     Document Type: Conference Paper

References (8)

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7. P. M. Baggenstoss, "Class-specific features in classification.," IEEE Trans Signal Processing, December 1999.
8. P. M. Baggenstoss, "A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces.," IEEE Trans Speech and Audio, to appear 2000.