论文标题
使用使用干电极记录的EEG信号的语音识别
Speech Recognition using EEG signals recorded using dry electrodes
论文作者
论文摘要
在本文中，我们使用脑电图（EEG）信号（EEG）信号证明了语音识别，该信号在有限的英语词汇量上使用了干电极获得，该词汇由三个元音组成，使用深度学习模型组成一个单词。我们证明了由两个英语元音组成的子集词汇的测试准确性为79.07％。我们的结果表明，使用使用干电极记录的EEG信号执行语音识别任务的可行性。
In this paper, we demonstrate speech recognition using electroencephalography (EEG) signals obtained using dry electrodes on a limited English vocabulary consisting of three vowels and one word using a deep learning model. We demonstrate a test accuracy of 79.07 percent on a subset vocabulary consisting of two English vowels. Our results demonstrate the feasibility of using EEG signals recorded using dry electrodes for performing the task of speech recognition.
