International Symposium on Chinese Spoken Language Processing
August 23-24, 2002
Speech Detection Based on Discrete Wavelet Transform
Ching-Tang Hsieh, Chih-Hsu Hsu
(1) Tamkang University, Taipei, Taiwan
This paper presents a fuzzy system to discriminate speech signals
from background. In our previous works, we had developed a
method for speech classification. For speech classification, the
universe of discourse is divided into two types, and each type is
treated as a class. These are background and speech signals. The
rectangular fuzzy system (RES) is used to classify frames and
integrate the rule-based approach. The variance of first detail
and the third approximation can extract fuzzy classification rules.
Experimental results demonstrate the superior performance to the
conventional ones. The effectiveness of the proposed system is
confirmed by the experimental results.
(2) Dahan Institute of Technology, Hua-Lien, Taiwan
Hsieh, Ching-Tang / Hsu, Chih-Hsu (2002):
"Speech detection based on discrete wavelet transform",
In ISCSLP 2002, paper 106.