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An adaptive algorithm for mel-cepstral analysis of speech

Fukada, T., Tokuda, K., Kobayashi, T., Imai, S.·1992·[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing

Abstract

The authors describe a mel-cepstral analysis method and its adaptive algorithm. In the proposed method, the authors apply the criterion used in the unbiased estimation of log spectrum to the spectral model represented by the mel-cepstral coefficients. To solve the nonlinear minimization problem involved in the method, they give an iterative algorithm whose convergence is guaranteed. Furthermore, they 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. The authors also present examples of speech analysis and results of an isolated word recognition experiment.>

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Metadata

Authors
Fukada, T., Tokuda, K., Kobayashi, T., & Imai, S.
Venue
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing
Publisher
IEEE
Published
1992
Pages
137-140 vol.1
ISSN
1520-6149 (ISSN-L)
OpenAlex
W2093450784
Cited by
328
References
0
FWCI
1.34
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An adaptive algorithm for mel-cepstral analysis of speech. https://app.cochat.ai/papers/10.1109/icassp.1992.225953
The paper
Fukada, T., Tokuda, K., Kobayashi, T., & Imai, S. (1992). An adaptive algorithm for mel-cepstral analysis of speech. [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/icassp.1992.225953

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