Spectral Subtraction for Reverberation Reduction Applied to Automatic Speech Recognition

被引：0
|
作者：
Pacheco, Fernando S. [1 ]
Seara, Rui [1 ]
机构：
[1] Univ Fed Santa Catarina, Dept Elect Engn, LINSE Circuits & Signal Proc Lab, Florianopolis, SC, Brazil
来源：
PROCEEDINGS OF THE IEEE INTERNATIONAL TELECOMMUNICATIONS SYMPOSIUM, VOLS 1 AND 2 | 2006年
关键词：
Spectral subtraction; speech dereverberation; speech recognition;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In real conditions, reverberation severely compromises the accuracy of automatic speech recognition (ASR) systems. The use and the assessment of spectral subtraction for reducing the reverberation effect in ASR systems is discussed. For such, a general procedure is presented. The influence of some important dereverberation parameters, such as the reverberation time, on the recognition rate is evaluated. By using the referred approach, the speech recognition rate is considerably improved.
引用
收藏
页码：795 / 800
页数：6
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