Head of Dept vacancy – covering maternity leave - 1 year (starting January 2019) at Fearnhill School in North Hertfordshire, UK. https://www.teachinherts.com/find-a-job/view,lead-teacher-of-music-temporary-appointment-for-one-year-maternity-cover_49757.htm
Thursday, September 27, 2018
Head of Dept vacancy – covering maternity leave - 1 year (starting January 2019) at Fearnhill School in North Hertfordshire, UK
Thursday, September 13, 2018
Fwd: TISMIR Journal Launch and Call for Papers
Dear colleagues,
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. You can read more about the motivations for the launch of TISMIR and our envisioned perspectives for TISMIR's future in Ubiquity's interview with the Editors-in-Chief here.
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. You can read more about the motivations for the launch of TISMIR and our envisioned perspectives for TISMIR's future in Ubiquity's interview with the Editors-in-Chief here.
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
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/
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
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/
*********************************************************************************
Anja Volk,
Assistant Professor, MA, MSc, PhD
VIDI-laureate
Anja Volk,
Assistant Professor, MA, MSc, PhD
VIDI-laureate
Editor-in-Chief of Transactions of ISMIR (tismir.ismir.net)
Department of Information and Computing Sciences
Utrecht University
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