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Bjoern Schuller <[log in to unmask]>
Thu, 19 Sep 2013 22:00:36 +0000
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Dear list,

For those of you working in the field of Computational Paralinguistics, this may be of interest:


EURASIP Journal on Audio, Speech, and Music Processing

Special Issue on Atypical Speech & Voices: Corpora, Classification, Coaching & Conversion

Call for Papers

Submission Deadline: 1 February 2014


With speech processing technology becoming more and more present in our every-day lives, it has become increasingly

important to include all types of voices, speaking situations, and styles from all parts of our society, i.e., to move beyond the "typical".

Examples of such less typical patterns may include speaking while eating, during physical exercise, singing, as well as a wide range of pathological effects or speech generated by special aged groups (children, elderly).

In fact, recent advances in the field of Computational Paralinguistics allow for automatic recognition, analysis, and synthesis of an ever-increasing range of "atypical" phenomena. At the same time, deeper analysis methods have opened doors to new assistive technologies, such as coaching systems, serious games, and tutoring systems, as well as diagnostic aids (e.g., for early detection of autism spectrum disorders, Alzheimer's or Parkinson's diseases). Tutoring systems, for example, have opened up new opportunities for voice professionals, such as public speakers, singers, and teachers, providing them with feedback on prosodic aspects, vibrato parameters, "presence" or quality. Further, methods of speech/voice enhancement and conversion have enabled improvements in intelligibility of spoken content, as well as socio-emotional communication skills of e.g., speakers on the autism spectrum.

In this light and given the steadily growing research activities and their importance, we openly invite papers

describing various aspects of analysis and synthesis of atypical speech and voices as well as their successful applications.

Submissions must not have been previously published and must have specific connection to audio,

speech, and music processing. The topics of particular interest will include, but are not limited to:

- Automatic Recognition of Atypical Speech & Voice Patterns

- Analysis of Atypical Speech, Singing & Voices

- Robustness in Automatic Speech Recognition against Atypical Phenomena

- Synthesis of Atypical Speech, Singing & Voices

- Enhancement and Conversion for Intelligibility Improvement of Atypical Speech & Voices

- Resources of Atypical Speech, Singing or Voice Patterns

- Multimodal Integration for Atypical Speech & Voice Processing (e.g., videolaryngoscopy, videokymography, fMRI, etc.)

- Tutoring Systems for Atypical Speech & Voice

- Serious Gaming Approaches in Atypical Speech & Voices

- Relationship Between Atypical Speech & Voices and Neurological Conditions

Submission Instructions:


Before submission authors should carefully read over the Instructions for Authors, which are located at Prospective authors should submit an electronic copy of

their complete manuscript through the SpringerOpen submission system at

manuscript according to the submission schedule. They should choose the correct Special Issue in the

"sections" box upon submitting. In addition, they should specify the manuscript as a submission to the

"Special Issue on Atypical Speech & Voices" in the cover letter. All submissions

will undergo initial screening by the Guest Editors for fit to the theme of the Special Issue and prospects for

successfully negotiating the review process.

Guest Editors


Björn W. Schuller, Imperial College London, London, U.K. & TUM, Munich, Germany

Email > [log in to unmask]<mailto:[log in to unmask]>

Tiago H. Falk, INRS-EMT, Montreal, Canada

Email > [log in to unmask]<mailto:[log in to unmask]>

Vijay Parsa, University of Western Canada, London, Canada

Email > [log in to unmask]<mailto:[log in to unmask]>

Elmar Nöth, FAU Erlangen-Nuremberg, Germany & King Abdulaziz University, Jeddah, Saudi Arabia

Email > [log in to unmask]<mailto:[log in to unmask]>

PD Dr.-Ing. habil.
Björn W. Schuller
Senior Lecturer in Machine Learning
Department of Computing
Imperial College London
London / UK

Machine Intelligence & Signal Processing Group
Institute for Human-Machine Communication
Technische Universität München
Munich / Germany

audEERING UG (limited)
Gilching / Germany
Visiting Professor
School of Computer Science and Technology
Harbin Institute of Technology
Harbin / P.R. China

Institute for Information and Communication Technologies
Joanneum Research
Graz / Austria

Centre Interfacultaire en Sciences Affectives
Université de Genève
Geneva / Switzerland
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