Foundations and Trends® in Information Retrieval > Vol 8 > Issue 2-3

Music Information Retrieval: Recent Developments and Applications

Markus Schedl, Johannes Kepler University, Austria, markus.schedl@jku.at Emilia Gómez, Pompeu Fabra University, Spain, emilia.gomez@upf.edu Julián Urbano, Pompeu Fabra University, Spain, julian.urbano@upf.edu
 
Suggested Citation
Markus Schedl, Emilia Gómez and Julián Urbano (2014), "Music Information Retrieval: Recent Developments and Applications", Foundations and Trends® in Information Retrieval: Vol. 8: No. 2-3, pp 127-261. http://dx.doi.org/10.1561/1500000042

Published: 12 Sep 2014
© 2014 M. Schedl, E. Gómez and J. Urbano
 
Subjects
Applications of IR,  Collaborative filtering and recommender systems,  Evaluation issues and test collections for IR,  Information extraction,  Information retrieval
 

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In this article:
1 Introduction to Music Information Retrieval
2. Music Content Description and Indexing
3. Context-based Music Description and Indexing
4. User Properties and User Context
5. Evaluation in Music Information Retrieval
6. Conclusions and Open Challenges
Acknowledgements
References

Abstract

We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification (“query by example"). Subsequently, we review current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. Eventually, a discussion about the major open challenges concludes the survey.

DOI:10.1561/1500000042
ISBN: 978-1-60198-806-5
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Table of contents:
1. Introduction to Music Information Retrieval
2. Music Content Description and Indexing
3. Context-based Music Description and Indexing
4. User Properties and User Context
5. Evaluation in Music Information Retrieval
6. Conclusions and Open Challenges
Acknowledgements
References

Music Information Retrieval

Music Information Retrieval: Recent Developments and Applications surveys the young but established field of research that is Music Information Retrieval (MIR). In doing so, it pays particular attention to the latest developments in MIR, such as semantic auto-tagging and user-centric retrieval and recommendation approaches.

Music Information Retrieval: Recent Developments and Applications starts by reviewing the well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification (“query by example"). Subsequently, it elaborates on the current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. It concludes with a discussion about the major open challenges facing MIR.

Music Information Retrieval: Recent Developments and Applications is an invaluable reference for researchers, students or practitioners working on, or with an interest in MIR.

 
INR-042