中文版 | English
题名

A Method To Map EEG Signals To Spoken Speech Using Gaussian Process Modeling

作者
DOI
发表日期
2021
ISSN
2219-5491
ISBN
978-1-6654-0900-1
会议录名称
卷号
2021-August
页码
1140-1144
会议日期
23-27 Aug. 2021
会议地点
Dublin, Ireland
摘要
This work aimed to map electroencephalography (EEG) signals recorded during speech production to an intelligible speech. Experiments were designed to record EEG and spoken speech signals from normal participants. EEG features were processed with a Gaussian process regression method, and used to estimate multiple temporal amplitude envelopes of a spoken speech signal. The estimated envelopes were further applied to synthesize an intelligible speech signal by using a temporal envelope-based vocoder model. The performance of reconstructing the spoken speech signal was evaluated by the short-term objective intelligibility (STOI) index and the root mean square error (RMSE) between the reconstructed vocoded speech and the original spoken speech. Results showed a small RMSE between two sets of mel-frequency cepstral coefficients, and a STOI measurement up to 0.71. Both measures outperformed results from existing studies with similar tasks, indicating the potential in synthesizing an intelligible spoken speech with EEG signals in brain-computer interface based speech communication.
关键词
学校署名
第一
语种
英语
相关链接[Scopus记录]
收录类别
EI入藏号
20220411505686
EI主题词
Audio signal processing ; Biomedical signal processing ; Brain computer interface ; Electrophysiology ; Gaussian distribution ; Gaussian noise (electronic) ; Mean square error ; Regression analysis ; Speech communication ; Speech intelligibility ; Speech recognition ; Speech synthesis ; Stochastic systems
EI分类号
Biomedical Engineering:461.1 ; Medicine and Pharmacology:461.6 ; Information Theory and Signal Processing:716.1 ; Computer Peripheral Equipment:722.2 ; Control Systems:731.1 ; Speech:751.5 ; Probability Theory:922.1 ; Mathematical Statistics:922.2 ; Systems Science:961
Scopus记录号
2-s2.0-85123189451
来源库
Scopus
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9615959
引用统计
被引频次[WOS]:0
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/328159
专题工学院_电子与电气工程系
作者单位
University Key Laboratory of Advanced Wireless Communications of Guangdong Province,Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
第一作者单位电子与电气工程系
第一作者的第一单位电子与电气工程系
推荐引用方式
GB/T 7714
Wu,Hongde,Pan,Changjie,Li,Mingtao,et al. A Method To Map EEG Signals To Spoken Speech Using Gaussian Process Modeling[C],2021:1140-1144.
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