[iva] CFP: Advances in HCI: SI on Advancing Big Data in Speech Computation
Ingo Siegert
ingo.siegert at ovgu.de
Wed Jan 16 13:07:24 CET 2019
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
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