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Subject: [ E-CFP ] Special Issue of Computer Speech & Language on Next Generation Computational Paralinguistics
From: <schuller_(on)_tum.de>
Date received: 21 Dec 2012
Deadline: 01 Apr 2013
Start date: -





Dear List,

For those of you interested:
__________________________________

Call for Papers

Special Issue of

COMPUTER SPEECH AND LANGUAGE

 on Next Generation Computational Paralinguistics
__________________________________

http://www.journals.elsevier.com/computer-speech-and-language/call-for-papers
/next-generation-computational-paralinguistics/

Computational Paralinguistics recently reached a level of
maturity allowing for their first real-life applications in
interaction, coaching, media retrieval, robotics, surveillance,
and manifold further domains. In particular, an increasing level
of realism is recently faced by coping with speaker independent
analysis of highly naturalistic data in narrow-bandwidth, noisy,
or reverberated conditions. At the same time, the richness of the
range of speaker states and traits analysed computationally is
increasingly widening up. This includes in particular also the
degree of subjectivity faced with tasks such as perceived speaker
personality, likability, or intelligibility, to name a few. Both
these aspects require additional experience on the interplay of
states and traits in speech, singing, and language. Further, with
the integration in applications, novel aspects arise such as
efficiency, reliability, self-learning, mobility, multi-cultural
and multi-lingual aspects, handling groups of speaker or singers,
standardisation, and user experience with such systems.

This Special Issue thus aims at shaping the Next Generation
Computational Paralinguistics. It will focus on technical issues
for highly improved and reliable state and trait analysis in
spoken, sung, and written language and provide a forum for some
of the very best experimental work on this topic. Original,
previously unpublished submissions are encouraged within the
following scope:

+Analysis of States and Traits in Spoken, Sung, and Written
Language +Subjectivity in Computational Paralinguistics (e.g.,
perceived states and traits) +Interdependence of States and
Traits +Intelligibility of Language Varieties and Deviant Speech
+Efficiency (low energy and memory consumption, fast adaptation,
active learning, etc.) +Reliability (e.g., confidence measures,
robustness against regulation and feigning, overlap)
+Self-learning (unsupervised, partially supervised, reinforced,
and deep learning) +Mobility (client/server distribution, package
loss, coding artefacts, privacy preservation, etc.)
+Multicultural and Multilingual Issues +Speaker / Singer Group
Characterisation +Standardisation (output encoding, feature
encoding, etc.) +Application (interaction, voice and writing
coaching, retrieval, robotics, surveillance, etc.) +User
Experience of Computational Paralinguistics Systems

Important Dates
__________________________________

Submission Deadline 1 April 2013 First Notification 1 July 2013
Final Version of Manuscripts 1 November 2013 Tentative
Publication Date January 2014

Guest Editors
__________________________________

Björn Schuller, Technische Universität München, Germany,
schuller_(at)_IEEE.org Stefan Steidl, FAU, Germany,
stefan.steidl_(at)_fau.de Anton Batliner, Technische Universität
München, Germany, Anton.Batliner_(at)_lrz.uni-muenchen.de Alessandro
Vinciarelli, University of Glasgow / IDIAP, UK,
alessandro.vinciarelli_(at)_glasgow.ac.uk Felix Burkhardt, Deutsche
Telekom AG, Germany, Felix.Burkhardt_(at)_telekom.de Rob van Son,
University of Amsterdam / Netherlands Cancer Institute, The
Netherlands, r.v.son_(at)_nki.nl

Submission Procedure
__________________________________

Prospective authors should follow the regular guidelines of the
Computer Speech and Language Journal for electronic submission
(http://ees.elsevier.com/csl). During submission authors must
select for this Special Issue (short name "NextGen
Paralinguistics").

___________________________________________

PD Dr. habil. Björn Schuller

Technische Universität München Institute for Human-Machine
Communication D-80333 München Germany +49-(0)89-289-28548

schuller_(at)_tum.de www.mmk.ei.tum.de/~sch
___________________________________________

ATT00001

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