Solutions for robust speech/non-speech detection in wireless environment

被引:3
|
作者
Karray, L [1 ]
Mokbel, C [1 ]
Monné, J [1 ]
机构
[1] FT CNET, DIH, DIPS, F-22307 Lannion, France
来源
1998 IEEE 4TH WORKSHOP INTERACTIVE VOICE TECHNOLOGY FOR TELECOMMUNICATIONS APPLICATIONS - IVTTA '98 | 1998年
关键词
D O I
10.1109/IVTTA.1998.727714
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
The use of speech recognition systems in noisy environments requires robustness to adverse conditions. An efficient detection of speech/non-speech segments is therefore necessary. Several approaches have been proposed in order to improve the robustness of speech/non-speech detection used for speech recognition in noisy conditions. In this paper, we describe a robust speech/non-speech detection algorithm based on the estimation of noise statistics: mean and variance. Results of several experiments carried out on a database collected over the GSM network show that this new approach improves the recognizer's global performances, especially in very noisy environments. Then, spectral subtraction is used as a preprocessing technique aiming to increase the robustness to noisy conditions. We show that the improvements concern mainly noisy conditions such as calls from outside or from running cars.
引用
收藏
页码:166 / 170
页数:5
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