An adaptive algorithm for mel-cepstral analysis of speech

Authors:
Toshiaki Fukada;Keiichi Tokuda;Takao Kobayashi;Satoshi Imai
Affiliations:
Information Systems Research Center, Canon Inc., Kawasaki, Japan;Department of Electrical and Electronic Engineering, Tokyo Institute of Technology, Toyko, Japan;Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan;Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan
Venue:
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Year:
1992

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Abstract

This paper describes a mel-cepstral analysis method and its adaptive algorithm. In the proposed method, we apply the criterion used in the unbiased estimation of log spectrum to the spectral model represented by the melcepstral coefficients. To solve the non-linear minimization problem involved in the method, we give an iterative algorithm whose convergence is guaranteed. Furthermore, we derive an adaptive algorithm for the mel-cepstral analysis by introducing an instantaneous estimate for gradient of the criterion. The adaptive mel-cepstral analysis system is implemented with an IIR adaptive filter which has an exponential transfer function, and whose stability is guaranteed. We also present examples of speech analysis and results of an isolated word recognition experiment.