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 <http://dorienherremans.com/dlm2017/>
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
<http://dorienherremans.com/dlm2017/dlm17template.zip> should be followed.
Contributions should be in PDF format and submitted to
d.herremans@qmul.ac.uk 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@qmul.ac.uk 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 <http://dorienherremans.com/dlm2017/>
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 <http://dorienherremans.com/dlm2017/>
--
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 <http://dorienherremans.com/dlm2017>,
May'17 Anchorage, Alaska.
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