[Comp-neuro] CFP: Advances in HCI: SI on Advancing Big Data in Speech Computation

Friedhelm Schwenker friedhelm.schwenker at uni-ulm.de
Fri Dec 7 16:13:59 CET 2018


Advances in Human-Computer Interaction
Special Issue on Advancing Big Data in Speech Computation


Submission Deadline: Friday, 31 May 2019
Publication Date: October 2019

Big Data is an emerging topic in a broad variety of research areas, with 
the promise to allow predictive user behavior analytics
for a wide variety of speech patterns like emotions, sentiment, 
personality, and pathology. With the emerging voice assistants,
such as Amazon Alexa or Google Assistant, speech interaction has 
attracted increasing attention. In addition, further speech-based
HCI-systems could benefit from big data computation, such as 
Speech-to-Speech translation systems, conversational agents,
and educational systems. Unfortunately, when dealing with speech 
computation tasks, oen only comparably small amounts of
data are available, or the collection is cumbersome.Thus, advanced 
methods such as transfer learning, active learning, data
synthesis, and (semi-)automatic annotation methods or 
domain-/topic-adaptation are needed.

This special issue welcomes original research papers concerned with the 
big data exploitation of speech data, particularly in
HCI-related contexts. We encourage researchers to submit review articles 
describing the current state of the art in speech-based
big-data analyses. Submissions dealing with data synthesis or recordings 
and automatic annotation of large sets of speech
data are highly encouraged.

Potential topics include but are not limited to the following:
* Speech data transfer learning and active learning for HCI systems
* (Semi-) Automatic speech data analyses for HCI systems
* Big data language modeling for HCI systems
* Generative adversarial networks for speech-based HCI behavior analytics
* Methods review for big data in advancing speech-based HCI
* Comparison of big data and small data approaches for speech-based HCI
* Application of Big data methods for speech based HCI-systems

Authors can submit their manuscripts through the Manuscript Tracking 
System at https://mts.hindawi.com/submit/journals/ahci/abd/.

Papers are published upon acceptance, regardless of the Special Issue 
publication date.

Lead Guest Editor
Ingo Siegert, Otto von Guericke University, Magdeburg, Germany
ingo.siegert at ovgu.de

Guest Editors
Anna Esposito, Università della Campania "Luigi Vanvitelli", Napoli, Italy
anna.esposito at unicampania.it

Friedhelm Schwenker, University of  Ulm, Ulm, Germany
friedhelm.schwenker at uni-ulm.de

Gennaro Cordasco, Anna Esposito, Università della Campania "Luigi 
Vanvitelli", Napoli, Italy
gennaro.cordasco at unicampania.it

PD Dr. Friedhelm Schwenker
University of Ulm
Institute of Neural Information Processing
D-89069 Ulm, Germany
phone:  +49-731-50-24159
fax:    +49-731-50-24156
email:  friedhelm.schwenker at uni-ulm.de
www:    http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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