[hts-users:04408] Call for Papers - Special Issue on Biosignal-based Sp

We are happy to announce the following call-for-papers for a special issue on "Biosignal-based Spoken Communication" in the IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).

Best regards

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For this purpose we will invite papers describing previously unpublished work in the following broad areas:

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 (Universität Bremen, Germany) tanja.schultz@xxxxxxxxxxxxx (Lead Guest Editor)

Thomas Hueber (CNRS/GIPSA-lab, Grenoble, France) thomas.hueber@xxxxxxxxxxxx

Dean J. Krusienski (ASPEN Lab, Old Dominion University) dkrusien@xxxxxxx

Jonathan Brumberg (Speech-Language-Hearing Department, University of Kansas) brumberg@xxxxxx

PDF version: http://signalprocessingsociety.org/uploads/special_issues_deadlines/TASLP_SI_biosignal.pdf

[hts-users:04408] Call for Papers - Special Issue on Biosignal-based Spoken Communication - IEEE/ACM Transactions on Audio, Speech, and Language Processing