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：

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

页码：312 / 314

页数：3

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