Robust voiced/unvoiced speech classification using fuzzy rules

被引：7
|
作者：
Beritelli, F
Casale, S
机构：
来源：
1997 IEEE WORKSHOP ON SPEECH CODING FOR TELECOMMUNICATIONS, PROCEEDINGS: BACK TO BASICS: ATTACKING FUNDAMENTAL PROBLEMS IN SPEECH CODING | 1997年
关键词：
D O I：
10.1109/SCFT.1997.623868
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The paper presents a robust Voiced/Unvoiced speech classifier based on fuzzy logic. More specifically, the classification is based on a pattern recognition approach in which the matching phase is performed using a set of 5 fuzzy rules obtained by training. Certain interesting statistical properties of the fuzzy system allow the transition threshold to be adapted to the level of back:ground noise. The results show that the performance of the fuzzy classifier in the presence of various types of background noise is better than that of traditional methods.
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页码：5 / 6
页数：2
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