An integrated music recommendation system

IEEE Transactions on Consumer Electronics

Volumn 52, Issue 3, 2006, Pages 917-925

  Zhu, Xuan ^a   Shi, Yuan Yuan ^a   Kim, Hyoung Gook ^b   Eom, Ki Wan ^b  

^a Samsung Commun Technol Res Inst   (China)

^b Samsung Advanced Institute of Technology (SAIT)   (South Korea)

Author keywords

Content based music retrieval; Music emotion classification; Music genre classification; Music recommendation system; Music similarity measure

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CONTENT BASED RETRIEVAL; DECODING; FEATURE EXTRACTION; FREQUENCY MODULATION;

INTEGRATED MUSIC RECOMMENDATION SYSTEM; MUSIC EMOTION CLASSIFICATION; MUSIC GENRE CLASSIFICATION; MUSIC SIMILARITY MEASURE;

COMPUTER MUSIC;

EID: 33750096272     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2006.1706489     Document Type: Article

References (21)

1. Available at http://www.id3.org.
2. G. Tzanetakis, and P. Cook, "Automatic musical genre classification of audio signals," IEEE Trans. on Speech and Audio Processing, vol. 10, no. 5, pp. 293-302, Jul. 2002.
3. T. Li, and G. Tzanetakis, "Factors in automatic musical genre classification of audio signals," in Proc. of the 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA'03), pp. 143-146, Oct. 19-22, 2003.
4. M. McKinney, and J. Breebaart, "Features for audio and music classification," in Proc. of 4th International Conf. on Music Information Retrieval 2003 (ISMIR2003), pp. 151-158, Oct. 26-30, 2003.
5. K. West, and S. Cox, "Features and classifiers for the automatic classification of musical audio signals," in Proc. of 5th International Conf. on Music Information Retrieval 2004 (ISMIR2004), pp. 531-536, Oct. 10-15, 2004.
6. P. N. Juslin, and J. A. Sloboda, "Music and emotion: Theory and research," Oxford Univ. Press, 2001.
7. D. Liu, L. Lu, and H.J. Zhang, "Automatic mood detection from acoustic music data," in Proc. of 4th International Conf. on Music Information Retrieval 2003 (ISMIR2003), Oct. 26-30, 2003.
8. Y.Z. Feng, Y.T. Zhuang, and Y.H. Pan, "Music information retrieval by detecting mood via computational media aesthetics," in Proc. of IEEE/WIC International Conf. on Web Intelligence 2003, pp. 235-241, Oct. 2003.
9. J.J. Aucouturier, and F. Pachet, "Improving timbre similarity: How high's the sky?," Journal of Negative Results in Speech and Audio Sciences, Apr. 2004.
10. B. Logan, and A. Salomon, "A music similarity function based on signal analysis," in Proc. of the 2001 IEEE International Conf. on Multimedia and Expo (ICME'01), pp. 745-748, Aug. 2001.
11. B.Logan, "Music recommendation from song set," in Proc. of 5th International Conf. on Music Information Retrieval 2004 (ISMIR2004), Oct. 10-15, 2004.
12. A. Berenzweig, D. Ellis, and S. Lawrence, "Anchor Space for Classification and Similarity Measurement of Music," in Proc. of the 2003 IEEE International Conf. on Multimedia and Expo (ICME'03), vol. 1, pp. 29-32, 2003.
13. A. Berenzweig, B. Logan, D. Ellis, and B. Whitman, "A Large-Scale Evaluation of Acoustic and Subjective Music Similarity Measures," in Proc. of 4th International Conf. on Music Information Retrieval 2003 (ISMIR2003), Oct. 26-30, 2003.
14. K. S. Park, W. J. Yoon, K. K. Lee, S. H. Oh, and K. M. Kim, "MRTB framework: A robust content-based music retrieval and browsing," IEEE Trans. on Consumer Electronics, vol. 51, no. 1, pp. 117-122, Feb. 2005.
15. M. Welsh, N. Borisov, J. Hill, R. Behren, and A. Woo, "Querying large collections of music for similarity," UC Berkeley Technical Report UCB/CSD-00-1096, U.C. Berkeley Computer Science Division, Nov. 1999.
16. J. Foote, "The beat spectrum: A new approach to rhythm analysis," ICME 2001.
17. D. Pye, "Content-based methods for the management of digital music," ICASSP2000.
18. S. Sukittanon, L. E. Atlas, and J. W. Pitton, "Modulation-scale analysis for content identification," IEEE Trans. on Signal Processing, vol. 52, no. 10, pp. 3023-3035, 2003.
19. R. E. Schapire, "A brief introduction to boosting," in Proc. of the Sixteen International Joint Conference on Artificial Intelligence, 1999.
20. D. Perrot, and R. Gjerdigen, "Scanning the dial: An exploration of factors in identification of music style," in Proc. of the 1999 Society for Music Perception and Cognition, pp. 88, 1999.
21. B.L. Feldman, and J.A. Russell, "Independence and bipolarity in the structure of affect," Journal of Personality and Social Psychology, vol. 74, pp. 967-984, 1998.