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Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms Read chapter Read first chapter

2012 | OriginalPaper | Chapter

Software in Music Information Retrieval

Authors : Claus Weihs, Klaus Friedrichs, Markus Eichhoff, Igor Vatolkin

Published in: Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Publisher: Springer Berlin Heidelberg

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Abstract

Music Information Retrieval (MIR) software is often applied for the identification of rules classifying audio music pieces into certain categories, like e.g. genres. In this paper we compare the abilities of six MIR software packages in ten categories, namely operating systems, user interface, music data input, feature generation, feature formats, transformations and features, data analysis methods, visualization methods, evaluation methods, and further development. The overall rankings are derived from the estimated scores for the analyzed criteria.

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previous chapter Partition Based Feature Processing for Improved Music Classification
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Literature
Amatriain X (2007) CLAM: A framework for audio and music application development. IEEE Softw 24(1):82–85CrossRef
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Mörchen F, Ultsch A, Nöcker M, Stamm C (2005) Databionic visualization of music collections according to perceptual distance. In: Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR 2005), London, UK, pp 396–403
Ras ZW, Wieczorkowska A (eds) (2010) Advances in music information retrieval. Springer, Berlin
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Vatolkin I, Theimer W, Botteck M (2010) AMUSE (Advanced MUSic Explorer) – A multitool framework for music data analysis. In: Proceedings of the 11th International Society for Music Information Retrieval Conference (ISMIR 2010), Utrecht, Netherlands, pp 33–38
Metadata
Title
Software in Music Information Retrieval
Authors
Claus Weihs
Klaus Friedrichs
Markus Eichhoff
Igor Vatolkin
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Print ISBN: 978-3-642-24465-0

Electronic ISBN: 978-3-642-24466-7

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-642-24466-7_43

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