基于语料语义的脑电反应一致性研究
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TN912.34;TN911.7

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国家重点研发计划“变革性技术关键科学问题”重点专项(2018YFA0701601)


A study of EEG response coherence based on corpus semantics
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    摘要:

    通过测量语音相关的脑电信号变化来研究人脑对于标准语料的反应趋势.有16名被测者分别聆听了120条标准语音,每条8 s,语音之间有1~2 s的间隔且随机播放.提取被测者在聆听过程中的脑电信号,对1~40 Hz频段的脑电信号进行预处理并将其与语音信号进行分析比对.结果显示,被测者听到相同标准语音时有相同的脑电反应趋势.通过相锁值方法对脑电信号和语音信号进行相位差分析,证明了脑电信号与语音质量之间的功能连接性,并且脑电信号区分语音质量的正确率达到99.62%.

    Abstract:

    This study examined the response tendency of the human brain to a standardized corpus of speech by measuring changes in speech-related electroencephalographic (EEG) signals.Sixteen participants listened to 120 standardized speech items,each lasting 8 seconds,with intervals of 1 to 2 seconds between them and played in a random order.During the listening process,the EEG signals were extracted from the participants,and the signals within the frequency band of 1-40 Hz were preprocessed and analyzed in comparison with the speech signals.The results showed that participants exhibited similar EEG response trends when exposed to the same standardized speech.Furthermore,phase difference analysis between EEG and speech signals was conducted using the phase locking value method,which demonstrated the functional connectivity between EEG signals and speech quality.Notably,the EEG signals achieved a 99.62% accuracy in distinguishing speech quality.

    参考文献
    [1] Bar O,Shallom I D.Speech quality assessment using EEG signals[C]//2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE).November 16-18,2016,Eilat,Israel.IEEE,2016:1-5
    [2] Uhrig S,Möller S,Voigt-Antons J N.Dissociating perceptual quality dimensions of transmitted speech using electroencephalography[C]//2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX).May 29-June 1,2018,Cagliari,Italy.IEEE,2018:1-3
    [3] Recommendation ITU-T P.863.1(06/2019):methods for objective and subjective assessment of speech and video quality[EB/OL].[2024-07-01].https://www.itu.int/rec/T-REC-P.863/
    [4] Keitel A,Gross J,Kayser C.Perceptually relevant speech tracking in auditory and motor cortex reflects distinct linguistic features[J].PLoS Biology,2018,16(3):e2004473
    [5] Luo H,Poeppel D.Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex[J].Neuron,2007,54(6):1001-1010
    [6] Di Liberto G M,O'Sullivan J A,Lalor E C.Low-frequency cortical entrainment to speech reflects phoneme-level processing[J].Current Biology,2015,25(19):2457-2465
    [7] Ding N,Simon J Z.Emergence of neural encoding of auditory objects while listening to competing speakers[J].Proceedings of the National Academy of Sciences of the United States of America,2012,109(29):11854-11859
    [8] Destoky F,Philippe M,Bertels J,et al.Comparing the potential of MEG and EEG to uncover brain tracking of speech temporal envelope[J].NeuroImage,2019,184:201-213
    [9] Nourski K V,Reale R A,Oya H,et al.Temporal envelope of time-compressed speech represented in the human auditory cortex[J].The Journal of Neuroscience,2009,29(49):15564-15574
    [10] Peelle J E,Gross J,Davis M H.Phase-locked responses to speech in human auditory cortex are enhanced during comprehension[J].Cerebral Cortex,2013,23(6):1378-1387
    [11] Koskinen M,Seppä M.Uncovering cortical MEG responses to listened audiobook stories[J].NeuroImage,2014,100:263-270
    [12] Lachaux J P,Rodriguez E,Martinerie J,et al.Measuring phase synchrony in brain signals[J].Human Brain Mapping,1999,8(4):194-208
    [13] Allefeld C,Kurths J.Multivariate phase synchronization analysis of EEG data[J].IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2003,E86-A(9):2218-2221
    [14] Allefeld C,Kurths J.An approach to multivariate phase synchronization analysis and its application to event-related potentials[J].International Journal of Bifurcation and Chaos,2004,14(2):417-426
    [15] Rosenblum M G,Pikovsky A S,Kurths J.Phase synchronization of chaotic oscillators[J].Physical Review Letters,1996,76(11):1804-1807
    [16] Li D,Li X L,Cui D,et al.Phase synchronization with harmonic wavelet transform with application to neuronal populations[J].Neurocomputing,2011,74(17):3389-3403
    [17] Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London Series A,1998,454(1971):903-998
    [18] 李昕,范梦頔,孙小棋,等.基于改进锁相位算法的脑区功能同步性研究[J].生物医学工程学杂志,2018,35(3):350-357 LI Xin,FAN Mengdi,SUN Xiaoqi,et al.Research on the correlation of brain function based on improved phase locking value[J].Journal of Biomedical Engineering,2018,35(3):350-357
    [19] 陈东毅,陈建国,李玉榕.结合经验模态分解能量矩占比和方差贡献率法的步态信号特征向量提取[J].物联网技术,2019,9(2):35-39,42
    [20] Zoefel B,Huster R J,Herrmann C S.Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance[J].NeuroImage,2011,54(2):1427-1431
    [21] Aviyente S,Bernat E M,Evans W S,et al.A phase synchrony measure for quantifying dynamic functional integration in the brain[J].Human Brain Mapping,2011,32(1):80-93
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宋奇蔚,葛宁,向涛.基于语料语义的脑电反应一致性研究[J].南京信息工程大学学报(自然科学版),2025,17(1):13-21
SONG Qiwei, GE Ning, XIANG Tao. A study of EEG response coherence based on corpus semantics[J]. Journal of Nanjing University of Information Science & Technology, 2025,17(1):13-21

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  • 收稿日期:2024-07-05
  • 在线发布日期: 2025-02-22

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