论文标题
使用脑电图的扬声器识别
Speaker Identification using EEG
论文作者
论文摘要
在本文中，我们使用脑电图（EEG）信号探索说话者识别。在背景噪声的存在下，说话者识别系统的性能降低了，本文表明，EEG功能可用于增强在存在和不存在背景噪声的情况下运行和不存在的说话者识别系统的性能。本文进一步证明，在存在高背景噪声的情况下，仅使用EEG功能作为输入的扬声器识别系统比仅使用声学特征作为输入的系统表现出更好的性能。
In this paper we explore speaker identification using electroencephalography (EEG) signals. The performance of speaker identification systems degrades in presence of background noise, this paper demonstrates that EEG features can be used to enhance the performance of speaker identification systems operating in presence and absence of background noise. The paper further demonstrates that in presence of high background noise, speaker identification system using only EEG features as input demonstrates better performance than the system using only acoustic features as input.
