[iva] CFP: Advances in HCI: SI on Advancing Big Data in Speech Computation

[Ingo Siegert]

CALL FOR PAPERS

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

Hindawi 

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



-- 
Jun.-Prof. Dr.-Ing. Ingo Siegert
FEIT IIKT-Mobile Dialog Systems
Building 03, Room 325
Otto-von-Guericke-University Magdeburg
Universitätsplatz 2, 39106 Magdeburg Germany
Phone: +49 391 - 67 50060
E-mail: ingo.siegert at ovgu.de