TY - GEN
T1 - Dividing the distributions of HMM and linear interpolation in speech recognition
AU - Asai, Kiyoshi
AU - Hayamizu, Satoru
AU - Handa, Ken'ichi
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - In this paper, we present an explicit criterion for deciding whether to divide the HMM-based phone model into more precise(for example, context dependent) models, or not. We also discuss the cases when linear interpolations of these models are used, and present an explicit solution of the interpolation weight λ. These criteria are obtained by evaluating the estimation errors of the distributions of these models. We show that the estimation errors should be evaluated by the projected covariance matrices of the estimation errors of the logarithm of the probabilities.
AB - In this paper, we present an explicit criterion for deciding whether to divide the HMM-based phone model into more precise(for example, context dependent) models, or not. We also discuss the cases when linear interpolations of these models are used, and present an explicit solution of the interpolation weight λ. These criteria are obtained by evaluating the estimation errors of the distributions of these models. We show that the estimation errors should be evaluated by the projected covariance matrices of the estimation errors of the logarithm of the probabilities.
UR - http://www.scopus.com/inward/record.url?scp=84968430260&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.1992.225980
DO - 10.1109/ICASSP.1992.225980
M3 - Conference contribution
AN - SCOPUS:84968430260
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 29
EP - 32
BT - ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1992 International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Y2 - 23 March 1992 through 26 March 1992
ER -