Feature extraction based on auditory representations for robust speech recognition

被引：1
|
作者：
Kim, DS
Lee, SY
Kil, RM
Zhu, XL
机构：
[1] KOREA ADV INST SCI & TECHNOL,DEPT BASIC SCI,YUSONG GU,TAEJON 305701,SOUTH KOREA
[2] TSING HUA UNIV,DEPT ELECT ENGN,BEIJING 100084,PEOPLES R CHINA
来源：
ELECTRONICS LETTERS | 1997年 / 33卷 / 01期
关键词：
speech recognition; feature extraction;
D O I：
10.1049/el:19970005
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：
A computational auditory model based on the detection of zero-crossings is introduced for robust speech recognition. The proposed method not only preserves intensity information, but is also robust to noise in frequency estimation. The robustness of the proposed method is verified analytically and experimentally.
引用
收藏
页码：15 / 16
页数：2
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