Open Access
Issue |
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
|
|
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Article Number | 01024 | |
Number of page(s) | 5 | |
Section | Information and Communication Technology | |
DOI | https://doi.org/10.1051/matecconf/20152201024 | |
Published online | 09 July 2015 |
- Guo, H.P. 2007. The Research of Algorithms and system Accomplishment Based Content Musical Retrieval. Changchun: Northeast Normal University. pp: 5–13. [Google Scholar]
- Yang, B. 2012. Design of a Content-based Polyphonic Music Retrieval System. Wuhan: Wuhan University of Science & Technology. pp: 4–11. [Google Scholar]
- Meng, X.W. 2009. Research and System Implementation on Content Based Music Information Retrieval. Beijing: Beijing University of Posts and Communications. pp: 6–17. [Google Scholar]
- N. Kosugietal. 1999. Music retrieval by humming, IEEE PACRIM. [Google Scholar]
- G. Tzanetakis. & P. Cook. 2002. Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing. pp: 292–300. [Google Scholar]
- N. Kosugietal. 2000. A practical query-by-humming system for a large music database, ACM Multimedia. [Google Scholar]
- Zhang, X. 2013. The influence of MPEG-7 standard on content-based retrieval. Journal of Information. (12) [Google Scholar]
- Sun, G.C. 2008. Study on Content-based Audio Retrieval Technology. Wuhan: Huazhong University of Science & Technology. [Google Scholar]
- Wu, C.J. 2011. Design and Realization of Melody-based Music Retrieval System. Beijing: Beijing University of Posts and Communications. [Google Scholar]
- Ginanjar, Rikip. 2011. MIDI Conversion to musical notation. Proceedings-1st International Conference on Informatics and Computational Intelligence, ICI <i>2011, pp: 95–98. [Google Scholar]
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