21.341, Calls: Psycholing/Phonetics/EURASIP Journal on Advances in Sign...(Jrnl)

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LINGUIST List: Vol-21-341. Wed Jan 20 2010. ISSN: 1068 - 4875.

Subject: 21.341, Calls: Psycholing/Phonetics/EURASIP Journal on Advances in Sign...(Jrnl)

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1)
Date: 20-Jan-2010
From: Björn Schuller < schuller at tum.de >
Subject: EURASIP Journal on Advances in Signal Processing
 

	
-------------------------Message 1 ---------------------------------- 
Date: Wed, 20 Jan 2010 13:27:26
From: Björn Schuller [schuller at tum.de]
Subject: EURASIP Journal on Advances in Signal Processing

E-mail this message to a friend:
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Full Title: EURASIP Journal on Advances in Signal Processing 


Linguistic Field(s): Cognitive Science;Neurolinguistics;Phonetics;Psycholinguistics 

Call Deadline: 01-Aug-2010 

Call For Papers for EURASIP Journal on Advances in Signal Processing

Special Issue on Emotion and Mental State Recognition from Speech

http://downloads.hindawi.com/journals/asp/si/emsr.pdf

http://www.hindawi.com/journals/asp/si/emsr.html

As research in speech processing has matured, attention has shifted from
linguistic-related applications such as speech recognition towards
paralinguistic speech processing problems, in particular the recognition of
speaker identity, language, emotion, gender, and age. Determination of
emotion or mental state is a particularly challenging problem, in view of
the significant variability in its expression posed by linguistic,
contextual, and speaker-specific characteristics within speech.

Some of the key research problems addressed to date include isolating
emotion-specific information in the speech signal, extracting suitable
features, forming reduced-dimension feature sets, developing machine
learning methods applicable to the task, reducing feature variability due
to speaker and linguistic content, comparing and evaluating diverse
methods, robustness, and constructing suitable databases. Automatic
detection of other types of mental state, which share some characteristics
with emotion, are also now being explored, for example, depression,
cognitive load, and "cognitive epistemic" states such as interest or
skepticism. Topics of interest in this special issue include, but are not
limited to:

- Signal processing methods for acoustic feature extraction in emotion
recognition
- Robustness issues in emotion classification, including speaker and
speaker group normalization and reduction of mismatch due to coding, noise,
channel, and transmission effects 
- Applications of prosodic and temporal feature modeling in emotion
recognition 
- Novel pattern recognition techniques for emotion recognition 
- Automatic detection of depression or psychiatric disorders from speech
- Methods for measuring stress, emotion-related indicators, or cognitive
load from speech
- Studies relating speech production or perception to emotion and mental
state recognition 
- Recognition of nonprototypical spontaneous and naturalistic emotion in
speech 
- New methods for multimodal emotion recognition, where nonverbal speech
content has a central role 
- Emotional speech synthesis research with clear implications for emotion
recognition 
- Emerging research topics in recognition of emotion and mental state from
speech 
- Novel emotion recognition systems and applications 
- Applications of emotion modeling to other related areas, for example,
emotion tolerant automatic speech recognition and recognition of
nonlinguistic vocalizations

Before submission authors should carefully read over the journal's Author
Guidelines, which are located at
http://www.hindawi.com/journals/asp/guidelines.html

Prospective authors should submit an electronic copy of their complete
manuscript through the journal Manuscript Tracking System at
http://mts.hindawi.com/ according to
the following timetable:

Manuscript Due: August 1, 2010
First Round of Reviews: November 1, 2010
Publication Date	: February 1, 2011

Lead Guest Editor:
- Julien Epps, The University of New South Wales, Australia; National ICT
Australia, Australia

Guest Editors:
- Roddy Cowie, Queen's University Belfast, UK
- Shrikanth Narayanan, University of Southern California, USA
- Björn Schuller, Technische Universitaet Muenchen, Germany
- Jianhua Tao, Chinese Academy of Sciences, China

Our apologies if you receive multiple copies of this message,

Thank you and best,
Julien Epps, Roddy Cowie, Shrikanth Narayanan, Jianhua Tao, and Björn Schuller




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