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The method of auditory cognitive control feature extraction of cerebral cortex potential for auditory modality speech conficting

  • School of Computer Science and Technology, Harbin Institute of Technology
  • Harbin University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Cognitive psychology found that the cerebral cortex potential will modulate as the visual or auditory morality receive conflicting information, which can be used to explore the "stimulus-response" mechanism for the cognitive conflict control. The experiments on visual cognitive conflict is more fruitful, while little work has been conducted in the corresponding auditory ones, and inconsistent conclusions have been reported. In this study, we proposed a time feature domain of 3-stage auditory cognitive control by utilizing conflicting and non-conflicting speech signals as stimuli and analyzing and studying the corresponding electroencephalogram (EEC) signals. The paper study the feature extraction for single trial EEC sample based on cognitive control mechanism of speech conflicting. Based on the cognitive mechanism, each EEC sample for a single trial was divided into three parts. Average amplitude in the time-domain and Lempel-Ziv Complexity (LZC) was computed for the divided part of each EEC sample and the union of the feature of the three stages was used as the features of each auditory cognitive EEG sample. The study results are as follows. (1) The cognitive conflicting related complex EEG component "N1-P2&N2&Late Slow Wave (Late-SW)", which was first found, respectively represents each stage of the auditory cognitive control. (2) A more completed auditory cognitive control process should three stages time domain feature: perceptual stage: 110~140 ms, identification stage: 260~320 ms, resolution stage: 500~700 ms. (3) The feature extraction method for a single trial auditory cognitive control EEG sample was proposed, the combination usage of Average amplitude and LZC can achieved the best accuracy (99.33%). The experimental results showed that the proposed method can effectively detect the EEG data of auditory cognitive control. Therefore, we offer an acoustic technique evaluating the ability of our brain auditory cognitive control.

Original languageEnglish
Pages (from-to)870-880
Number of pages11
JournalShengxue Xuebao/Acta Acustica
Volume41
Issue number6
StatePublished - 1 Nov 2016
Externally publishedYes

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