Robust automatic speech recognition using a multi-channel signal separation front-end

被引：0
|
作者：
Yen, KC
Zhao, YX
机构：
来源：
ICSLP 96 - FOURTH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, PROCEEDINGS, VOLS 1-4 | 1996年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
A multi-channel signal separation front-end for robust automatic speech recognition under time-varying interference conditions is developed. The speech signals aquired by a dual-channel system art restored by adaptive decorrelation filtering, and then examined by a time-domain or frequency-domain source signal detection technique to determine the active regions of each sourer signal. The front-end is integrated with an HMM-based speaker-independent continuous speech recognition system by providing the restored signals within the active regions for recognition. Under a simulated room acoustic condition, the overall system shows very promising performance. For the conditions with SNR above -10 dB, recognition accuracies are very close interference-free condition.
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收藏
页码：1337 / 1340
页数：4
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