Tag Archives: tismir

I am blogging some news related to a project I have been recently contributing.

It brings us great pleasure to announce the launch of the first issue of TISMIR, the Transactions of the International Society for Music Information Retrieval, https://transactions.ismir.net/

TISMIR was 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. The TISMIR publication model avoids excessive cost to the authors or their institutions, with article charges being less than the ISMIR Conference registration fee.

The first issue contains an editorial introducing the journal, four research papers and one dataset paper:

Editorial: Introducing the Transactions of the International Society for Music Information Retrieval – Simon Dixon,  Emilia Gómez,  Anja Volk

Multimodal Deep Learning for Music Genre Classification – Sergio Oramas,  Francesco Barbieri,  Oriol Nieto,  Xavier Serra

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification – Matthias Dorfer,  Jan Hajič jr.,  Andreas Arzt,  Harald Frostel,  Gerhard Widmer

A New Curated Corpus of Historical Electronic Music: Collation, Data and Research Findings – Nick Collins,  Peter Manning,  Simone Tarsitani

A Case for Reproducibility in MIR: Replication of ‘A Highly Robust Audio Fingerprinting System’ – Joren Six,  Federica Bressan,  Marc Leman

Pop Music Highlighter: Marking the Emotion Keypoints – Yu-Siang Huang,  Szu-Yu Chou,  Yi-Hsuan Yang

Two more papers (one research paper and one overview paper) are in press.

Authors:  We look forward to receiving new submissions to the journal – please see the Call for Papers below.

Best Regards
Simon Dixon, Anja Volk and Emilia Gómez

Editors-in-chief, TISMIR

CALL FOR PAPERS

The ISMIR Board is happy to announce the launch of the Transactions of the International Society for Music Information Retrieval (TISMIR), the open-access journal of our community.

 

TISMIR (http://tismir.ismir.net) 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 reviewers from the ISMIR community, who are crucial to the success of the journal. To become a reviewer, please register here http://tismir.ubiquitypress.com/author/register/reviewer/

Journal Manager

Tim Wakeford, Ubiquity Press, United Kingdom

Contact

tismir@ismir.net

 

Website

http://tismir.ismir.net/