Channel-weighting method for speech recognition using wavelet decompositions

Jyh Shing Shyuu, Jhing Fa Wang, Chung-Hsien Wu

研究成果: Paper同行評審

2 引文 斯高帕斯(Scopus)

摘要

A decomposition of signal into a set of frequency channels of equal bandwidth on a logarithmic scale, i.e., an analysis of the signal using constant Q filters, using wavelet and multiresolution analysis is used in this paper to derive cepstrum features of different spatial frequency bands. Based on the decompositions, each channel is modeled as a Bayesian subnetwork and each subnetwork is weighted by a weighting algorithm. The distortions for speech recognition between a reference model and the input vectors are then computed by summing the weighted scores of all decomposed channels. The experimental results show that the recognition rate of this method is superior to those non-weighting methods.

原文English
頁面519-523
頁數5
出版狀態Published - 1994 12月 1
事件Proceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems - Taipei, Taiwan
持續時間: 1994 12月 51994 12月 8

Other

OtherProceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems
城市Taipei, Taiwan
期間94-12-0594-12-08

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

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