Improved perceptually non-uniform spectral compression for robust speech recognition

被引：0
|
作者：
ZHANG Yi
HE Chun-jiang
LUO Yuan
CHEN Kai
XING Wu-chao
机构：
[1] EngineeringResearchandDevelopmentCentreofInformationAccessibility,ChongqingUniversityofPostsandTelecommunications
来源：
TheJournalofChinaUniversitiesofPostsandTelecommunications | 2013年 / 20卷 / 04期
关键词：
D O I：
暂无
中图分类号：
TN912.34 [语音识别与设备];
学科分类号：
摘要：
According to the decline of recognition rate of speech recognition system in the noise environments, an improved perceptually non-uniform spectral compression feature extraction algorithm is put forward in this paper.This method can realize an effective compression of the speech signals and make the training and recognition environments more matching, so the recognition rate can be improved in the noise environments.By experimenting on the intelligent wheelchair platform, the result shows that the algorithm can effectively enhance the robustness of speech recognition, and ensure the recognition rate in the noise environments.
引用
收藏
页码：122 / 126+132 +132
页数：6
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