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 (EEG) signals. The paper study the feature extraction for single trial EEG sample based on cognitive control mechanism of speech conflicting. Based on the cognitive mechanism, each EEG 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 EEG sample and the union of the feature of the threestages 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: 260N320 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.