Thursday, May 11, 2017

Fwd: CfP - Transactions of the International Society for Music Information Retrieval, the Open Access ISMIR Journal

The TISMIR Editorial Team and the ISMIR Board are happy to announce the launch of the Transactions of the International Society for Music Information Retrieval (TISMIR), the open-access journal of the MIR community.

TISMIR ( publishes novel scientific research in the field of Music Information Retrieval (MIR), an interdisciplinary research area concerned with processing, analysing, organising and accessing music information. We welcome submissions from a wide range of disciplines, including computer science, musicology, cognitive science, library & information science, machine learning, and electrical engineering.

TISMIR is established to complement the widely cited ISMIR conference proceedings and provide a vehicle for the dissemination of the highest quality and most substantial scientific research in MIR. TISMIR retains the Open Access model of the ISMIR Conference proceedings, providing rapid access, free of charge, to all journal content. In order to encourage reproducibility of the published research papers, we provide facilities for archiving the software and data used in the research. TISMIR is published in electronic-only format, making it possible to offer very low publication costs to authors' institutions, while ensuring fully open access content. With this call for papers we invite submissions for the following article types:

Article types
Research articles must describe the outcomes and application of unpublished original research. These should make a substantial contribution to knowledge and understanding in the subject matter and should be supported by relevant experiments.
Overview articles should focus in detail on specific aspects of MIR research. Overview articles will provide a comprehensive review of a broad MIR research problem, a critical evaluation of proposed techniques and/or an analysis of challenges for future research. Papers should critically engage with the relevant body of extant literature.
Datasets should present novel efforts in data gathering and annotation that have a strong potential impact in the way MIR technologies are exploited and evaluated.

If the paper extends or combines the authors' previously published research, it is expected that there is a significant novel contribution in the submission (as a rule of thumb, we would expect at  least 50% of the underlying work - the ideas, concepts, methods, results, analysis and discussion - to be new).  In addition, if there is any overlapping textual material, it should be rewritten.

Review process
The journal operates a double-blind peer review process.  Review criteria include originality, consideration of previous work, methodology, clarity and reproducibility.

Publication frequency
The journal is published online as a continuous volume and issue throughout the year, following an open access policy. Articles are made available as soon as they are ready to ensure that there are no unnecessary delays in getting content publicly available.

Editorial team
Editors in Chief
Simon Dixon, School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom
Emilia Gómez, Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain
Anja Volk, Department of Information and Computing Sciences, Utrecht University, Netherlands

Editorial Board
Juan P. Bello, Department of Music and Performing Arts Professions, & Department of Electrical and Computer Engineering, New York University, United States
Arthur Flexer, Austrian Research Institute for Artificial Intelligence (OFAI), Austria
Fabien Gouyon, Pandora, United States
Xiao Hu, Faculty of Education, Division of Information & Technology Studies, University of Hong Kong
Olivier Lartillot, Department of Musicology, University of Oslo, Norway
Jin Ha Lee, Information School, University of Washington, United States
Meinard Mueller, International Audio Laboratories Erlangen, Germany
Geoffroy Peeters, Sound Analysis/Synthesis Team, UMR STMS IRCAM CNRS, France
Markus Schedl, Department of Computational Perception, Johannes Kepler University Linz, Austria

Reviewers: The editorial board counts on expert reviewers from the interdisciplinary research area concerned with processing, analysing, organising and accessing music information, who are crucial to the success of the journal. To become a reviewer, please register here

Journal Manager
Tim Wakeford, Ubiquity Press, United Kingdom



Kind regards,
Anja Volk, 
on behalf of TISMIR

Anja Volk, 
VIDI-laureate, Project leader MUSIVA 
Assistant Professor, MA, MSc, PhD

Department of Information and Computing Sciences, Utrecht University
PO Box 80.089
3508 TB Utrecht, the Netherlands
Tel.:+31 (30) 253 5965