ERP research on the emotional voice for different languages and non-speech utterances
CHANG Jiang1, ZHANG Xueying1, ZHANG Qiping1,2, CHEN Hongtao1, SUN Ying1, HU Fengyun3
1. College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China;
2. Palmer School of Library and Information Science, Long Island University, New York 11548, USA;
3. Department of Neurology, Shanxi Provincial Hospital, Taiyuan 030024, China
Abstract：The event-related potential (ERP) is an effective method to study the brain mechanism of voice processing. This investigation studies how semantic understanding affects the emotional voice during speech and how speech influences the emotional voice for speech and non-speech utterances. In the tests, the audio signals are preprocessed using the endpoint detection technique to synchronize the ERP starting position with its corresponding signal content to enable superposition of the ERP waveforms. The ERP tests show that the negative waveform at around 200 ms in the temporal region may be associated with the prosody perception and the semantic understanding. In addition, the latency and amplitude results suggest that the brain is more sensitive to native emotional language than foreign emotional language and that the brain more quickly processes emotional non-speech utterances than emotional speech.
畅江, 张雪英, 张奇萍, 陈宏涛, 孙颖, 胡凤云. 不同语种及非言语情感声音的ERP研究[J]. 清华大学学报（自然科学版）, 2016, 56(10): 1131-1136.
CHANG Jiang, ZHANG Xueying, ZHANG Qiping, CHEN Hongtao, SUN Ying, HU Fengyun. ERP research on the emotional voice for different languages and non-speech utterances. Journal of Tsinghua University(Science and Technology), 2016, 56(10): 1131-1136.
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