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[AUDITORY] Deadline extension (firm) - International Workshop on Deep Learning for Music



To allow more time for finishing submissions, the paper deadline for the workshop on deep learning and music has been extended until March 12th. This will be a firm deadline. Whoever submitted already will be able to modify their submission until this final deadline.



============Call for Papers============


International Workshop on Deep Learning for Music

In conjunction with the 2017 International Joint Conference on Neural Networks

(IJCNN 2017))


18-19 May, Anchorage

More info



Invited speakers

Invited speakers include Dr. Oriol Nieto (Pandora), Prof. Dr. Douglas Eck (the Head of the Google Magenta team) (tentatively confirmed), and Dr. Kat Agres (A*STAR Institute of High Performance Computing).


Submissions of Papers

Papers of up to 5 pages using the following template are welcomed for a talk. Submissions will be evaluated according to their originality, technical soundness, and relevance to the workshop. The guidelines outlined in the workshop’s latex template [ dorienherremans. com/dlm2017/dlm17template. zip ] should be followed. Contributions should be in PDF format and submitted to d.herremans@xxxxxxxxxx with the subject line: [DLM17 paper submission]. Submissions do not need to be anonymised. Papers will be peer-reviewed and published in the proceedings of the workshop.


Submissions of Abstracts

Structured abstracts of max 2 pages can be submitted for a shorter talk. The abstracts should follow the same template as the papers and will be included in the proceedings. Abstracts should be in PDF format and submitted to d.herremans@xxxxxxxxxx with the subject line: [DLM17 abstract submission]. Abstracts will be peer-reviewed and included in the proceedings of the workshop.


Special Issue in Journal

Authors will be invited to submit a full paper version of their extended abstract for a special issue in an indexed journal (such as Journal of New Music Research or IEEE Transactions on Neural Networks (tbc)). More details on this will be available soon.



Topics

Papers and abstracts on the application of deep learning techniques on music are welcomed, including but not limited to:

  • Deep learning applications for computational music research

  • Modeling hierarchical and long term music structures using deep learning

  • Modeling ambiguity and preference in music

  • Software frameworks and tools for deep learning in music

More info


Important Dates

Paper Submission Deadline: March 12th (extended deadline - firm)

Acceptance Notification: March 22th

Final versions due: March 30th

Workshop Date: May 18-19, 2017


Registration

Workshop registration will be handled by the main conference, please check IJCNN for more details.


Organizers

Dorien Herremans (Queen Mary University of London, UK)

Ching-Hua Chuan (University of North-Florida, US)


Programme Committee

Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria)Dorien Herremans (Queen Mary University of London, UK)

Ching-Hua Chuan (University of North-Florida, US)

Louis Bigo (Université Lille 3, France)

Sebastian Stober (University of Potsdam, Germany)


More info



-- 

Dorien Herremans, PhD
Marie-Curie Fellow
http://dorienherremans.com

Queen Mary University of London
School of Electronic Engineering and Computer Science
C4DM - Centre for Digital Music, London

Workshop on Deep Learning and Music, May'17 Anchorage, Alaska.