Abstract
This paper has concentrated on how to retrieve a list of songs from music database similar to the specific one. Content-based retrieval of music is one of the most popular research subjects, which mostly focuses on querying the exactly one from database by humming a tune or submitting a recording of music. However, getting some songs similar to, but not exactly the given one could be also interested by people. In this paper, we propose a classification framework to solve this problem using string-based methods. Introducing string-based similarity measure, our framework has lower computational complexity and better effect. We also developed a new distributed clustering algorithm under MapReduce framework, which performed well for massive audio data. Experiments are performed and analyzed to show the efficiency and the effectiveness of our proposed framework.
National Natural Science Foundation of China under Grant No.61170007; National Major Research Plan of Chinese Infrastructure Software under Grant No.2010ZX01042-002-003-004.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Foote, J.T.: Content-Based Retrieval of Music and Audio. In: Kuo, C.-C.J., et al. (eds.) Proc. of SPIE Multimedia Storage and Archiving System II, vol. 3229, pp. 138–147 (1997)
Liu, M., Wan, C.: A study of content-based retrieval of mp3 music objects. In: Proc. of the Int’l. Conf. on Information and Knowledge Management, Atlanta, Georgia, pp. 506–511. ACM (2001)
Liu, C.C., Hsu, J.L., Chen, A.L.P.: 1D-List: An Approximate String Matching Algorithm for Content-Based Music Data Retrieval (submitted for publication)
Ghias, A., Logan, J., Chamberlin, D., Smith, B.C.: Query by humming—musical information retrieval in an audio database. In: ACM Multimedia 1995, San Francisco, USA (1995)
Chen, A.L.P., Chang, M., Chen, J.: Query by Music Segments: An Efficient Approach for Song Retrieval. In: Proc. of IEEE International Conference on Multimedia and Expo. (2000)
Li, T., Ogihara, M., Peng, W., Shao, B., Zhu, S.: Music clustering with features from different information sources. IEEE Transactions on Multimedia 11(3), 477–485 (2009)
Tsai, W.-H., Wang, H.-M., Rodgers, D., Cheng, S.-S., Yu, H.-M.: Blind Clustering of Popular Music Recordings Based on Singer Voice Characteristics. In: Proc. of ISMIR 2003, pp. 167–173 (2003)
Cilibrasi, R., de Wolf, R., Vitanyi, P.: Algorithmic Clustering of Music Based on String Compression. Computer Music J. 28(4), 49–67 (2004)
Frühwirth, M., Rauber, A.: Self-Organizing Maps for Content-Based Music Clustering. In: Proceedings of the Italian Workshop on Neural Nets (2001)
Jiang, D.-N., Lu, L., Zhang, H.-J., Tao, J.-H., Cai, L.-H.: Music type classification by spectral contrast feature. In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Lausanne, Switzerland (August 2002)
Davis, S.B., Mermelstein, P.: Comparison of parametnc representahons for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoust., Speech, Signal Processing ASSP-28(4), 357–366 (1980)
Yuan, Y., Zhao, P., Zhou, Q.: Research of speaker recognition based on combination of LPCC and MFCC. In: IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), October 29-31, vol. 3, pp. 765–767 (2010)
Ellis, D.: Classifying music audio with timbral and chroma features. In: International Symposium on Music Information Retrieval (ISMIR 2007), pp. 339–340 (2007)
Cano, P., Batle, E., Kalker, T., Haitsma, J.: A review of algorithms for audio fingerprinting. In: Processing 2002 IEEE Workshop on Multimedia Signal Processing, December 9-11, pp. 169–173 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zeng, J., He, Z., Wang, W., Huang, H. (2012). A Classification Framework for Similar Music Search. In: Bao, Z., et al. Web-Age Information Management. WAIM 2012. Lecture Notes in Computer Science, vol 7419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33050-6_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-33050-6_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33049-0
Online ISBN: 978-3-642-33050-6
eBook Packages: Computer ScienceComputer Science (R0)