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[AUDITORY] Fwd: Workshop on Deep Learning for Music - Call for abstracts/papers

[Apologies for cross posting]

International Workshop on Deep Learning for Music

In conjunction with the 2017 International Joint Conference on Neural Networks

(IJCNN 2017))

14-19 May (1 day), Anchorage

More info

There has been tremendous interest in deep learning across many fields of study. Recently, these techniques have gained popularity in the field of music. Projects such as Magenta (Google's Brain Team's music generation project), Jukedeck and others testify to their potential.

While humans can rely on their intuitive understanding of musical patterns and the relationships between them, it remains a challenging task for computers to capture and quantify musical structures. Recently, researchers have attempted to use deep learning models to learn features and relationships that allow us to accomplish tasks in music transcription, audio feature extraction, emotion recognition, music recommendation, and automated music generation.

With this workshop we aim to advance the state-of-the-art in machine intelligence for music by bringing together researchers in the field of music and deep learning. This will enable us to critically review and discuss cutting-edge-research so as to identify grand challenges, effective methodologies, and potential new applications.


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

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 should be followed (the template will be available shortly). 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 (which will be available shortly) 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. More details on this will be available soon.

Important Dates

Paper Submission Deadline: February 28th

Acceptance Notification: March 12th

Final versions due: March 23, 2017

Workshop Date: one day during conference May 14-19, 2017


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


Dorien Herremans (Queen Mary University of London, UK)

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

Programme Committee

Dorien Herremans (Queen Mary University of London, UK)

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

Louis Bigo (Université Lille 3, France)

Maarten Grachten (Austrian Research Institute for Artificial Intelligence, Austria)

Sebastian Stober (University of Potsdam, Germany)

More info

Dorien Herremans, PhD
Marie-Curie Fellow

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