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[AUDITORY] Call for Articles: Special Issue on Atypical Speech & Voices: Corpora, Classification, Coaching & Conversion

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

asmp.eurasipjournals.com/authors/instructions. Prospective authors should submit an electronic copy of

their complete manuscript through the SpringerOpen submission system at asmp.eurasipjournals.com/

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 > bjoern.schuller@xxxxxxxxxxxxxx


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

Email > falk@xxxxxxxxxxx


Vijay Parsa, University of Western Canada, London, Canada

Email > parsa@xxxxxxxxxx


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

Email > noeth@xxxxxxxxx





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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