2nd CfP Special Issue of Computer Speech and Language on Paralinguistics in Naturalistic Speech and Language (Bjoern Schuller )


Subject: 2nd CfP Special Issue of Computer Speech and Language on Paralinguistics in Naturalistic Speech and Language
From:    Bjoern Schuller  <schuller@xxxxxxxx>
Date:    Fri, 1 Apr 2011 13:41:40 +0000
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Dear List, The following call might be of interest to those of you working in the field of Paralinguistics: ___________________________________________ Call for Papers COMPUTER SPEECH AND LANGUAGE Special Issue on Paralinguistics in Naturalistic Speech and Language http://www.elsevierscitech.com/cfp/CSL_Special_Issue_Natural_Paralinguistics_CFP.pdf ___________________________________________ Paralinguistic phenomena including speaker states such as emotion or health condition, speaker traits such as personality, likeability, age or gender, as well as vocal behaviour such as laughter, sighs or hesitation, increasingly become part of every-day and future communication, retrieval, and surveillance systems. This requires present research to focus on realistic conditions in the sense of naturalistic occurrence of these phenomena, on real-life requirements such as presence of noise, reverberation or transmission artefacts, and on efficiency requirements. Further, optimal embedding of computational estimates in a system context needs to be addressed. To this end, speech and language resources and tailored acoustic and lexical features and machine learning architectures are needed. In addition, synergistic parallel assessment of such phenomena exploiting mutual dependencies may lead to improved performance over isolated consideration. In this vein, this special issue of Computer Speech and Language will be devoted to the computational analysis of Paralinguistics in Naturalistic Speech and Language. Original, previously unpublished submissions are encouraged within the following scope: + Speaker States (Emotion and Affect, Health Condition, etc.) + Speaker Traits (Personality, Likeability, Age, Gender, Height, etc.) + Vocal Behaviour (Laughter, Sighs, Hesitations, Voice Quality, etc.) + Interdependence of Paralinguistics + Synergistic Paralinguistic Analysis (Multi-task learning, One-pass decoding, etc.) + Machine Analysis of Naturalistic Occurrence of Speaker States and Traits + Paralinguistics in Conversational Speech and Realistic Environments + Semi- and Unsupervised Speaker Adaptation, Clustering, and Profiling for Paralinguistics + On-line, Incremental and Real-time Processing for Paralinguistics + Noise, Reverberation, Coding and Transmission Robustness for Paralinguistics + Distributed Paralinguistic Analysis and Standardization Issues for Paralinguistics + Paralinguistic Speech and Language Resources + Applications of Paralinguistics (Socially-Aware Spoken Dialog Systems, Recognition of Spontaneous Speech, Aging Society, Child-Computer Interfaces, Call-Centres, Education, Gaming, Health Care, Human-Agent and Human-Robot Communication, Surveillance, etc.) 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 "Natural Paralinguistics"). Schedule: ___________________________________________ Submission Deadline: 1 May 2011 First Notification: 1 July 2011 Final Version of Manuscripts: 1 October 2011 Tentative Publication Date: January 2012 Guest Editors: ___________________________________________ Björn Schuller, Technische Universität München, Germany Stefan Steidl, ICSI, USA Anton Batliner, Universität Erlangen-Nürnberg, Germany Thank you and best, Stefan Steidl, Anton Batliner, and Björn Schuller ___________________________________________ Dr. Bjoern Schuller Senior Researcher and Lecturer Technische Universitaet Muenchen Institute for Human-Machine Communication D-80333 München Germany +49-(0)89-289-28548 schuller@xxxxxxxx ___________________________________________


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