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  • Yazarın fotoğrafıCihan Işıkhan

New Tendencies in Music Industry: Music Information Retrieval

Paper / Makale, 2015



Nowadays, different studies on music technology are available exception of recording, processing and analyzing of music. Especially thanks to the opportunities provided by the internet technology in recent years, one of these studies is Music Information Retrieval (MIR). The purpose of MIR is to query by humming, whistling etc. of music using computer as text-based queries on internet search engine.

In this study, the important studies on MIR during the last decade and technical contents of some popular MIR software such as Shazam, SoundHound are discussed. As a result, MIR is a new issue on music industry with their operating principles of popular applications and even their servicing to the musicians and music education.



https://www.123rf.com/


"MIR studies which was only studied in computer sciences, but with the advancing of the technology involving many multi disciplines particularly music science and technology, has currently become a part of the music industry with the applications developed for mobile hardware."

REFERENCES

BAINBRIDGE D. (1998), MELDEX: A Web-Based Melodic Locator Service, Computing in Musicology, Vol. 11

CHAI W. (2001), Melody Retrieval on the Web, Master Thesis, Massachusetts Institute of Technology, USA

COLVIN J. (2009), Naming That Tune: Mobile Music Information Retrieval Systems, Music Reference, Taylor & Francis Group, ISSN: 1058-8167

HURON D. (1991), Humdrum: Music Tools for UNIX Systems, Computing in Musicology, Vol. 7

KATIE H. & LYON M. (2000), İnternet Tarihi, Çev: S. Yazıcıoğlu, Güncel Yayıncılık, İstanbul

KORNSTÄDT A. (1998), Themefinder: A Web-Based Melodic Search Tool, Computing in Musicology, Vol. 11

LINCOLN H. B. (1967), Some Criteria and Techniques for Developing Computerize Thematic Indices, Electronische Datenverarbeitung in der Musikwissenschaft, Regensburg

TYPKE R. & L. PRECHELT (2001), an Interface for Melody Input, ACM Transactions on Computer-Human Interaction, Vol 8 (2)

TZANETAKIS G. (2001), Automatic Musical Genre Classification of Audio Signals, ISMIR 2001.

WILD J. (1996), a Review of the Humdrum Toolkit: UNIX Tools for Musical Research, Music Theory Online

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