论文标题
脑电图中的“沉默声” - 认知语音活动检测
The "Sound of Silence" in EEG -- Cognitive voice activity detection
论文作者
论文摘要
语音认知具有潜在的应用作为大脑计算机界面，可以改善原本交流受损的人的生活质量。尽管言语和静止状态的脑电图被广泛研究，但在这里，我们试图探索与语音音频沉默区域相对应的“非语音”（NS）状态。首先，研究了语音感知以检查这种状态的存在，然后在语音想象中进行识别。类似于如何使用语音活动检测来增强语音识别的性能，此处实施的EEG状态活动检测协议可提高想象中的语音EGEEG解码的信心。语音和NS状态的分类是使用从实验室和商业设备中收集的两个数据集完成的。这样获得的状态顺序信息进一步用于减少想象的脑电图单位识别的搜索空间。 NS状态的时间信号结构和地形图在受试者和会话之间可视化。识别性能和观察到的视觉区分表明，脑电图中存在沉默信号。
Speech cognition bears potential application as a brain computer interface that can improve the quality of life for the otherwise communication impaired people. While speech and resting state EEG are popularly studied, here we attempt to explore a "non-speech"(NS) state of brain activity corresponding to the silence regions of speech audio. Firstly, speech perception is studied to inspect the existence of such a state, followed by its identification in speech imagination. Analogous to how voice activity detection is employed to enhance the performance of speech recognition, the EEG state activity detection protocol implemented here is applied to boost the confidence of imagined speech EEG decoding. Classification of speech and NS state is done using two datasets collected from laboratory-based and commercial-based devices. The state sequential information thus obtained is further utilized to reduce the search space of imagined EEG unit recognition. Temporal signal structures and topographic maps of NS states are visualized across subjects and sessions. The recognition performance and the visual distinction observed demonstrates the existence of silence signatures in EEG.
