生物信号
计算机科学
语音处理
过程(计算)
领域(数学)
模式
人机交互
语音识别
电信
数学
社会科学
操作系统
社会学
纯数学
无线
作者
Tanja Schultz,Michael Wand,Thomas Hueber,Dean J. Krusienski,Christian Herff,Jonathan S. Brumberg
标识
DOI:10.1109/taslp.2017.2752365
摘要
Speech is a complex process involving a wide range of biosignals, including but not limited to acoustics. These biosignals-stemming from the articulators, the articulator muscle activities, the neural pathways, and the brain itself-can be used to circumvent limitations of conventional speech processing in particular, and to gain insights into the process of speech production in general. Research on biosignal-based speech processing is a wide and very active field at the intersection of various disciplines, ranging from engineering, computer science, electronics and machine learning to medicine, neuroscience, physiology, and psychology. Consequently, a variety of methods and approaches have been used to investigate the common goal of creating biosignal-based speech processing devices for communication applications in everyday situations and for speech rehabilitation, as well as gaining a deeper understanding of spoken communication. This paper gives an overview of the various modalities, research approaches, and objectives for biosignal-based spoken communication.
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