SPEECH RECOGNITION WITH NO SPEECH OR WITH NOISY SPEECH

被引：0
|
作者：
Krishna, Gautam [1 ]
Co Tran [1 ]
Yu, Jianguo [2 ]
Tewfik, Ahmed H. [1 ]
机构：
[1] Univ Texas Austin, Brain Machine Interface Lab, Austin, TX 78712 USA
[2] Univ Aizu, Aizu Wakamatsu, Fukushima, Japan
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年
关键词：
Electroencephalograpgy(EEG); Speech Recognition; Distillation; Deep Learning;
D O I：
10.1109/icassp.2019.8683453
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The performance of automatic speech recognition systems(ASR) degrades in the presence of noisy speech. This paper demonstrates that using electroencephalography (EEG) can help automatic speech recognition systems overcome performance loss in the presence of noise. The paper also shows that distillation training of automatic speech recognition systems using EEG features will increase their performance. Finally, we demonstrate the ability to recognize words from EEG with no speech signal on a limited English vocabulary with high accuracy.
引用
收藏
页码：1090 / 1094
页数：5
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