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Article Dans Une Revue IEEE/ACM Transactions on Audio, Speech and Language Processing Année : 2017

Biosignal-Based Spoken Communication: A Survey

Résumé

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.

Dates et versions

hal-01652757 , version 1 (30-11-2017)

Identifiants

Citer

Tanja Schultz, Thomas Hueber, Michael Wand, Dean J. Krusienski, Christian Herff, et al.. Biosignal-Based Spoken Communication: A Survey. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2017, 25 (12), pp.2257 - 2271. ⟨10.1109/TASLP.2017.2752365⟩. ⟨hal-01652757⟩
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