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  • Yazarın fotoğrafıCihan Işıkhan

Melody Extraction on MIDI Music Files

Proceeding / Bildiri Kitapçığı, 2005


#FullPaper (Eng.)


In this study, we propose a new approach to extract monophonic melody from MIDI files and provide a comparison of existing methods. Our approach is based on the elimination of MIDI channels those do not contain melodic information. First, MIDI channels are clustered depending on pitch histogram. Afterwards, a channel is selected from each cluster as representative and remaining channels and their notes are removed. Finally, Skyline algorithm is applied on the modified MIDI set to ensure accuracy of monophonic melody. We evaluated our approach within a test bed of MIDI files, composed of variable music styles. Both our approach and the results from experiments are presented in detail.



“Polyphonic nature of the music is the main difficulty of the music retrieval. Concurrency of notes increases the search time dramatically. One solution for the polyphonic music retrieval is melody extraction, which generates monophonic equivalent of polyphonic music files.”


References


R. Baeza-Yates, B. Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley , 1999.

W. Chai, Melody Retrieval on the Web, MS Thesis, Massachusetts Institute of Technology, Boston, 2000.

K. Man Shan, F. Kuo Fang, “Music Style Mining and Classification by Melody”, IEICE Transaction Information & systems, Vol.85, 2002.

W. Dowling, “Melodic information processing and its development”, The Psychology of Music, chapter 13, pages 413- 429. Academic Press, Inc., 1982.

T. Eerola and P. Toiviainen, “MIR in Matlab : The MIDI Toolbox”, Proceedings of ISMIR, 2004.

A. Ghias, J. Logan, D. Chamberlin, and B. Smith “Query by humming - Musical information retrieval in an audio databases”, ACM Multimedia Proceedings, 1995.

C. Isıkhan , G. Ozcan, A. Alpkocak, Y. Ozer. “Ezgi Seçilimi / Ayıklama Arastırması(Survey on Melody Extraction)”, Technical Report, Dokuz Eylul University, 2004.

A. K. Jain and R. Dubes, Algorithms for Clustering Data. Prentice Hall, New Jersey, 1988.

K. Lemstrom, J. Tarhio. “Searching monophonic patterns within polyphonic sources”. Proceedings of the RIAO Conference, Volume 2, pages 1261–1278, College of France, Paris, 2000.

C. Meek, W. Birmingham, “Thematic Extractor”, Proceedings of ISMIR, 2001. Y.H. Tseng, “Content-Based Retrieval for Music Collections”, Proceedings of the 22nd International ACM SIGIR , 1999.

A. Uitdenbogerd and J. Zobel, “Manipulation of music for melody matching”, Proceedings of ACM International Multimedia Conference, 1998.

A. Uitdenbogerd and J. Zobel, “Melodic Matching techniques for large music databases”, Proceedings of ACM International Multimedia Conference, 1999.

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