Noise compensation for speech recognition with arbitrary additive noise

被引：0
|
作者：
Ming, J [1 ]
机构：
[1] Queens Univ Belfast, Sch Comp Sci, Belfast BT7 1NN, Antrim, North Ireland
来源：
ELECTRONICS LETTERS | 2004年 / 40卷 / 03期
关键词：
D O I：
10.1049/el:20040113
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 new method for noise compensation for additive background noise based only on clean speech training data is described, assuming arbitrary noise characteristics. Experiments on Aurora 2 indicate that the new method has achieved a performance comparable to, or better than, the performance obtained by the baseline model trained on multicondition data.
引用
收藏
页码：206 / 207
页数：2
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