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Spectral Peak-Weighted Liftering of Cepstral Coefficients for Speech Recognition

Hong Kook KIM, Hwang Soo LEE

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Summary :

In this paper, we propose a peak-weighted cepstral lifter (PWL) for enhancing the spectral peaks of an all-pole model spectrum in the cepstral domain. The design parameter of the PWL is the degree of pole enhancement or pole shifting toward the unit circle. The optimal pole shifting factor is chosen by considering the sensitivity to spectral resonance peaks, the variability of cepstral variances, and the recognition accuracy. Next, we generalize the PWL so that the optimal shifting factor is adaptively determined in frame-by-frame basis. Compared with other cepstral lifters, a speech recognizer employing the frame-adaptive PWL provides better recognition performance.

Publication
IEICE TRANSACTIONS on Information Vol.E83-D No.7 pp.1540-1549
Publication Date
2000/07/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Speech and Hearing

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