Abstract
In this paper, intelligent music recommend system is proposed based on clouding computer. User- selected music is classified to similar tendency by algorithm of music genre classification, after total of 12 musical feature extraction on cloud. This system classified using Thayer’s model of mood and music was classified again suitable for current weather conditions. So, we suggested to music recommend system based on cloud computing system recommend for user and verified through simulation. The results of performance evaluation show that the proposed system can efficiently support weather condition and season information.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Platt, J.C., Burges, C., Swenson, S., Weare, C., Zheng, A.: Learning a Gaussian Process Prior for Automatically Generating Music Playlist. In: Proc. NIPS, vol. 14, pp. 1425–1423 (2002)
Tzanetakis, G., Cook, P.: Musical Genre Classification of Audio Signals Speech and Audio Processing. IEEE Transactions 10(5), 293–302 (2002)
Li, T., Ogihara, M., Li, Q.: A Comparative Study on Content-Based Music Genre Classification. In: Proc. of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 282–289 (2003)
Rabiner, L.R.: Fundamentals of Speech Recognition. Prentice Hall (1993)
Thayer, R.E.: The Biopsychology of Mood and Arousal. Oxford University Press (1989)
Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006)
Extracting Features from Audio Files, http://jmir.sourceforge.net
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, KY., Kwun, TM., Lim, MJ., Kim, KH., Kim, JL., Seo, IH. (2011). Intelligent Music Recommendation System Based on Cloud Computing. In: Kim, Th., et al. Multimedia, Computer Graphics and Broadcasting. MulGraB 2011. Communications in Computer and Information Science, vol 263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27186-1_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-27186-1_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27185-4
Online ISBN: 978-3-642-27186-1
eBook Packages: Computer ScienceComputer Science (R0)