Title :
Maximum mutual information estimation of hidden Markov model parameters for speech recognition
Author :
Bahl, L. ; Brown, Peter F. ; De Souza, Peter V. ; Mercer, Robert L.
Author_Institution :
IBM Thomas J. Watson Research Center, Yorktown Heights, NY
Abstract :
A method for estimating the parameters of hidden Markov models of speech is described. Parameter values are chosen to maximize the mutual information between an acoustic observation sequence and the corresponding word sequence. Recognition results are presented comparing this method with maximum likelihood estimation.
Keywords :
Acoustic waves; Hidden Markov models; Loudspeakers; Maximum likelihood decoding; Maximum likelihood estimation; Mutual information; Parameter estimation; Random variables; Speech processing; Speech recognition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
DOI :
10.1109/ICASSP.1986.1169179
