Noise Speech Recognition Based on Compressive Sensing

被引：0
|
作者：
Zhao Zhi-peng [2 ,3 ]
Cen Yi-gang [2 ,3 ]
Chen Xiao-fang [1 ]
机构：
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
[2] Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
[3] Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China
来源：
COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3 | 2011年 / 268-270卷
基金：
中国国家自然科学基金;
关键词：
compressive sensing; speech analysis; speech recognition; sparse representation; SPARSE; RECONSTRUCTION;
D O I：
10.4028/www.scientific.net/AMR.268-270.82
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, we proposed a new noise speech recognition method based on the compressive sensing theory. Through compressive sensing, our method increases the anti-noise ability of speech recognition system greatly, which leads to the improvement of the recognition accuracy. According to the experiments, our proposed method achieved better recognition performance compared with the traditional isolated word recognition method based on DTW algorithm.
引用
收藏
页码：82 / +
页数：2
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