22.5119, Calls: Computational Ling, Pragmatics/ Computer Speech & Language (Jrnl)

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LINGUIST List: Vol-22-5119. Mon Dec 19 2011. ISSN: 1069 - 4875.

Subject: 22.5119, Calls: Computational Ling, Pragmatics/ Computer Speech & Language (Jrnl)

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1)
Date: 19-Dec-2011
From: Bjoern Schuller [schuller at tum.de]
Subject: Computer Speech & Language


-------------------------Message 1 ---------------------------------- 
Date: Mon, 19 Dec 2011 12:46:06
From: Bjoern Schuller [schuller at tum.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, schuller at tum.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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