Exploitation of spectral variance to improve robustness in speech recognition

被引：1
|
作者：
Xu, H [1 ]
Tan, ZH [1 ]
Dalsgaard, P [1 ]
Lindberg, B [1 ]
机构：
[1] Univ Aalborg, Dept Commun Technol, DK-9220 Aalborg, Denmark
来源：
ELECTRONICS LETTERS | 2006年 / 42卷 / 05期
关键词：
5;
D O I：
10.1049/el:20063884
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the aim of improving noise robustness of speech recognition an approach that exploits the variance information in spectral sub-bands is presented. The variance based features are used in combination with the normally used Mel-frequency cepstral coefficients (MFCC), and experimental results show that the combined features outperform MFCC alone, perceptual linear prediction features and entropy based features.
引用
收藏
页码：312 / 314
页数：3
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