Spectral Peak-Weighted Liftering of Cepstral Coefficients for Speech Recognition

概要

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In this paper, we propose a peak-weighted cepstral lifter(PWL)for enhancing the spectral peaks of an all-pole model spectrum in the ceptral 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 empolying the frame-adaptive PWL provides better recognition performance.
一般社団法人電子情報通信学会の論文
2000-07-25