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LINGUIST List 22.5119

Mon Dec 19 2011

Calls: Computational Ling, Pragmatics/ Computer Speech & Language (Jrnl)

Editor for this issue: Brent Miller <brentlinguistlist.org>


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        1.     Bjoern Schuller , Computer Speech & Language


Message 1: Computer Speech & Language
Date: 19-Dec-2011
From: Bjoern Schuller <schullertum.de>
Subject: Computer Speech & Language
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Full Title: Computer Speech and Language


Call Deadline: 01-Mar-2012

Special Issue of Computer Speech and Language

Broadening the View on Speaker Analysis

In the last five decades of automatic speech analysis and more recently
automatic singing analysis, the focus of research was laid on the linguistic
and structural content side: words (and note-events) and their higher level
interpretation and understanding. Yet, when it comes to the human behind
speaking and singing, so far, literature has been mostly interested in the
identity of the person. Only in the last one and a half decade, increasing
effort was invested to computationally analyse an increasingly higher variety
of speakers' and singers' states and traits to characterize the person. By
temporal grouping, there are the short term states comprising speaking and
singing style and voice quality, emotions (full-blown, prototypical), and
emotion-related states or affects such as stress, intimacy, interest,
confidence, uncertainty, deception, politeness, frustration, sarcasm, and
pain. Next comes the medium term phenomena between states and traits
including (partly) self-induced more or less temporary states (e.g.,
sleepiness, medical and alcohol intoxication, health state, mood such as
depression), and structural (behavioural, interactional, social) signals (role in
dyads, groups, and alike, friendship and identity, positive/negative attitude).
Finally, there are long term traits, such as biological trait primitives (e.g.,
height, weight, age, gender), group/ethnicity membership (race/culture/social
class with a weak borderline towards other linguistic concepts, i.e., speech
and singing registers such as dialect or nativeness), personality traits
(likeability and personality in general) - just to mention a few. There is no
doubt on the huge variety of highly promising application scenarios in
understanding and modelling speakers and singers from their person side.
Further, these tasks are so far mostly handled in isolation when it comes to
automatic analysis. Yet, it seems intuitive that these are highly inter-
dependent.

This Special Issue thus aims at Broadening the View on Speaker Analysis. It
will focus on technical issues for highly improved and robust speaker (and
singer) state and trait analysis and provide forum for some of the very best
experimental work on this topic. Original, previously unpublished submissions
are encouraged within the following scope:

Speaker Analysis (Affect, Intoxication, Sleepiness, Pathology, Personality,
etc.) Singer Analysis in Music Potentially Including Voice Separation Efficient
Methods for Combination of Acoustic and Linguistic Cues Feedback for Voice
Coaching Exploitation of Mutual Dependence of States and Traits Distributed
Speaker Analysis Unsupervised Learning, Analysis by Synthesis
Approaches, and Databases Robustness in Speaker Analysis (Coding, Noise,
Over-talk, Reverberation, Package Loss, etc.) Confidence Measures in
Speaker Analysis Contextual Information in Speaker Analysis Novel Machine
Learning Solutions and Features for Speaker Analysis Real World Application

Important Dates:

Submission Deadline: 1 March 2012
First Notification : 1 May 2012
Final Version of Manuscripts: 1 September 2012
Tentative Publication Date: October 2012

Guest Editors:

Björn Schuller, Technische Universität München, Germany, schullertum.de

Stefan Steidl, FAU, Germany

Anton Batliner, FAU, Germany

Florian Schiel, University of Munich, Germany

Jarek Krajweski, Bergische Universität Wuppertal, Germany



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