Content Gazette - October 2016 - 8

Call for Papers
Special Issue on Biosignal-based Spoken Communication
in the IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)
Speech is a complex process emitting a wide range of biosignals, including, but not limited to, acoustics. These
biosignals - stemming from the articulators, the articulator muscle activities, the neural pathways, or 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 capturing and processing is a wide and very active field at the intersection of
various disciplines, ranging from engineering, electronics and machine learning to medicine, neuroscience,
physiology, and psychology. Consequently, a variety of methods and approaches are thoroughly investigated,
aiming towards the common goal of creating biosignal-based speech processing devices and applications for
everyday use, as well as for spoken communication research purposes.
We aim at bringing together studies covering these various modalities, research approaches, and objectives in a
Special issue of the IEEE Transactions on Audio, Speech, and Language Processing
entitled
Biosignal-based Spoken Communication.
For this purpose we will invite papers describing previously unpublished work in the following broad areas:
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Capturing methods for speech-related biosignals: tracing of articulatory activity (e.g. EMA, PMA, ultrasound,
video), electrical biosignals (e.g. EMG, EEG, ECG, NIRS), acoustic sensors for capturing whispered /
murmured speech (e.g. NAM microphone), etc.
Signal processing for speech-related biosignals: feature extraction, denoising, source separation, etc.
Speech recognition based on biosignals (e.g. silent speech interface, recognition in noisy environment, etc.).
Mapping between speech-related biosignals and speech acoustics (e.g. articulatory-acoustic mapping)
Modeling of speech units: articulatory or phonetic features, visemes, etc.
Multi-modality and information fusion in speech recognition
Challenges of dealing with whispered, mumbled, silently articulated, or inner speech
Neural Representations of speech and language
Novel approaches in physiological studies of speech planning and production
Brain-computer-interface (BCI) for restoring speech communication
User studies in biosignal-based speech processing
End-to-end systems and devices
Applications in rehabilitation and therapy

Submission Deadline: November 2016
Notification of Acceptance: January 2017
Final Manuscript Due: April 2017
Tentative Publication Date: First half of 2017
Editors:
Tanja Schultz (Universit├Ąt Bremen, Germany) tanja.schultz@uni-bremen.de (Lead Guest Editor)
Thomas Hueber (CNRS/GIPSA-lab, Grenoble, France) thomas.hueber@gipsa-lab.fr
Dean J. Krusienski (ASPEN Lab, Old Dominion University) dkrusien@odu.edu
Jonathan Brumberg (Speech-Language-Hearing Department, University of Kansas) brumberg@ku.edu

www.signalprocessingsociety.org

[8]

OCTOBER 2016


http://www.signalprocessingsociety.org

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