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Fri, 25 Sep 2015 08:38:18 +0200
Markus Schedl <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Markus Schedl <[log in to unmask]>
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Dear community,

Due to a large number of requests, we decided to extend the deadline for 
the Special Issue on "Intelligent Music Systems and Applications" in the 
ACM Transactions on Intelligent Systems and Technology to
*** October 31, 2015 ***.

Please find the final call for papers below.

Thanks for your interest and looking forward to receiving your submission!

The guest editors: Markus Schedl, Yi-Hsuan Yang, Perfecto Herrera

ACM Transactions on Intelligent Systems and Technology
Special Issue on Intelligent Music Systems and Applications

With the advent of music information retrieval (MIR), intelligent 
technologies have become an essential part of music systems and 
applications. This is evidenced by today’s omnipresence of digital 
online music stores and streaming services, which rely on music 
recommenders, automatic playlist generators, and music browsing 
interfaces. A large amount of MIR research leading to intelligent music 
applications deals with the extraction of musical and acoustic 
information directly from the audio signal using signal processing 
techniques. Other strategies exploit contextual aspects of music, not 
present in the signal, for example, community meta-data and trails of 
user interaction, as found, for instance, on social media platforms. 
Recently, also user-centric aspects are being considered, such as 
affect, personality, and user context. Intelligent music systems have 
also been developed as music creation tools, in which case the modeling 
of a composer's preferences or of genre/stylistic features are required.

Topics of interest
This special issue addresses all aspects of music information, i.e., 
music content, context, and user aspects. Highest quality research that 
has not been published, nor is under review elsewhere, targeting one or 
more of the following topics in the context of intelligent music systems 
and applications is welcome:
• Music Information Systems
• Music Recommendation and Playlist Generation
• Intelligent Music and Audio Browsing Interfaces
• Games Based on Intelligent Music Analysis
• Automatic Accompaniment or Real-time Tracking of Performances
• Music Synthesis
• Automatic Composition
• Automatic Lyrics Generation
• MIR in the Music Production Domain
• Semantic Content Analysis, Knowledge Extraction, and Music Indexing
• Collaborative Tags, Social Media Mining, Network Analysis
• User Modeling and Personalized Music Systems
• Personality, Emotion, and Affect
• Hybrid Systems using Content and Context
• Multimedia Approaches to MIR and Cross-media Recommendation
• Large-Scale Music Retrieval
• Evaluation, Mining of Ground Truth, and Data Collections

Paper Submission Deadline               September 27, 2015
Notification after First Review Cycle   December 20, 2015
Paper Revisions Deadline                February 21, 2016
Final Notification                      April 24, 2016
Submission of Camera Ready Paper        May 22, 2016

Manuscript submission
Please submit your manuscript through the ACM TIST submission system at (select "Special Issue: Intelligent 
Music Systems and Applications" as the manuscript type). Submissions 
must adhere to the ACM TIST instructions and guidelines for authors 
available at

Guest editors
Markus Schedl       Johannes Kepler University, Linz, Austria
Yi-Hsuan Yang       Academia Sinica, Taipei, Taiwan
Perfecto Herrera    Universitat Pompeu Fabra and Escola Superior de 
Musica de Catalunya, Barcelona, Spain

If you have any further questions, please contact us via e-mail: Markus 
Schedl ([log in to unmask]), Yi-Hsuan Yang ([log in to unmask]), 
and Perfecto Herrera ([log in to unmask])

Dr. Markus Schedl
Associate Professor
Department of Computational Perception
Johannes Kepler University Linz
Altenberger Strasse 69
A-4040 Linz, Austria

Computer Science Building (SCP3)
Room 442 (4th Floor)

Tel:  +43 732 2468 4716
Fax:  +43 732 2468 4705
Mail: [log in to unmask]

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