Noisy speech recognition based on speech enhancement

被引：0

作者：

Wang, Xia ^{[1
]}

Tang, Hongmei ^{[1
]}

Zhao, Xiaoqun ^{[2
]}

机构：

[1] Hebei Univ Technol, Sch Informat Engn, Tianjin, Peoples R China

[2] Tongji Univ, Sch Elect Informat & Engn, Shanghai 200030, Peoples R China

来源：

SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 3, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/SNPD.2007.335

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In speech recognition system, recognition rate is always influenced by noise because training and recognition models are often mismatch in noisy environments. In this paper, we present a recognition system based on speech enhancement. First, noisy speech is enhanced by a filter composed of morphology and wavelet, then enhanced signals are sent into recognition system based on Hidden Markov Model, and the model is trained by signals passed through morphology filter. Experiments show that this method can increase system performance in noisy environment.

引用

页码：713 / +

页数：2

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