[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