"Reinventing the wheel": A novel approach to music player interfaces

IEEE Transactions on Multimedia

Volumn 9, Issue 3, 2007, Pages 567-575

  Pohle, Tim ^a   Knees, Peter ^a   Schedl, Markus ^a   Pampalk, Elias ^b   Widmer, Gerhard ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Feature extraction; Music; Music playlist generation; Portable media players; User interfaces

Indexed keywords

FEATURE EXTRACTION; JAVA PROGRAMMING LANGUAGE; PORTABLE EQUIPMENT; PROBLEM SOLVING; USER INTERFACES; WEBSITES;

AUDIO FILES; AUDIO SIGNAL ANALYSIS; JAVA APPLET; MUSIC PLAYLIST GENERATION; PORTABLE MEDIA PLAYERS; REAL-WORLD MUSIC COLLECTIONS;

ELECTRONIC MUSICAL INSTRUMENTS;

EID: 33947586195     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2006.887991     Document Type: Article

References (23)

1. T. Pohle, E. Pampalk, and G. Widmer, "Generating similarity-based playlists using traveling salesman algorithms," in Proc. 8th Int. Conf. Digital Audio Effects (DAFx-05), Madrid, Spain, Sep. 20-22, 2005, pp. 220-225.
2. M. Alghoniemy and A. Tewfik, "A network flow model for playlist generation," in Proc. IEEE Int. Conf. Multimedia and Expo (ICME'01), Tokyo, Japan, Aug. 22-25, 2001 [Online]. Available: http://citeseer.ist.psu. edu/alghoniemy01network.html
3. J.-J. Aucouturier and F. Pachet, "Scaling up music playlist generation," in Proc. IEEE Int. Conf. Multimedia and Expo (ICME'02), Lausanne, Switzerland, Aug. 26-29, 2002.
4. B. Logan, "Content-Based playlist generation: exploratory experiments," in Proc. Int. Conf. Music Information Retrieval (ISMIR 2002), Paris, France, Oct. 13-17, 2002.
5. B. Logan and A. Salomon, "A music similarity function based on signal analysis," in Proc. IEEE Int. Conf. Multimedia and Expo (ICME'01), Tokyo, Japan, Aug. 22-25, 2001.
6. G. Tzanetakis, "Musescape: an interactive content-aware music browser," in Proc. 6th Int. Conf. Digital Audio Effects (DAFx-03), London, U.K., Sep. 8-11, 2003.
7. M. Schedl, E. Pampalk, and G. Widmer, "Intelligent structuring and exploration of digital music collections," e&i - Elektrotechnik und Informationstechnik, vol. 122, no. 7/8, Jul./Aug. 232-237, 2005.
8. T. Kohonen, "Self-organizing formation of topologically correct feature maps," Biolog. Cybern., vol. 43, pp. 59-69, 1982.
9. E. Pampalk, A. Rauber, and D. Merkl, "Using smoothed data histograms for cluster visualization in self-organizing maps," Proc. Int. Conf. Artifical Neural Networks (1CANN'02). Madrid, Spain, Springer, Aug. 2002, pp. 871-876.
10. M. Goto and T. Goto, "Musicream: new music playback interface for streaming, sticking, sorting, and recalling musical pieces," in Proc. Sixth Int. Conf. Music Information Retrieval (ISMIR'05), London, U.K., Sep. 2005.
11. E. Pampalk, A. Rauber, and D. Merkl, "Content-based organization and visualization of music archives," Proc. ACM Multimedia. Juan les Pins, France, ACM, Dec. 1-6, 2002, pp. 570-579.
12. T. Pohle, "Extraction of Audio Descriptors and Their Evaluation in Music Classification Tasks" Master's thesis, Technische Univ. Kaiserslautern, Austrian Res. Inst. Artificial Intelligence (ÖFAI), Deutsches Forschungszentrum für Künsieetliche Intelligenz (DFKI), 2005 [On-line], Available: http://kluedo.ub.uni-kl.de/volltexte/2005/1881/
13. J.-J. Aucouturier, F. Pachet, and M. Sandler, ""The way it sounds": timbre models for analysis and retrieval of music signals," IEEE Trans. Multimedia, vol. 7, no. 6, pp. 1028-1035, Dec. 2005.
14. B. Logan, "Mel frequency cepstral coefficients for music modeling," in Proc. 1st Int. Symp. Music Information Retrieval, 2000 [Online]. Available: http://citeseer.ist.psu.edu/logan00mel.html
15. J.-J. Aucouturier and F. Pachet, "Music similarity measures: what's the use?," Proc. 3rd Int. Symp. Music Information Retrieval IRCAM. Paris, France, Oct. 13-17, 2002, pp. 157-163.
16. C. M. Bishop, Neural Networks for Pattern Recognition. Oxford, U.K.: Oxford Univ. Press, 1995.
17. J.-J. Aucouturier and F. Pachet, "Improving timbre similarity: how high is the sky?," J. Negative Results in Speech and Audio Sci., vol. 1, no. 1, 2004.
18. G. Salton and C. Buckley, "Term-weighting approaches in automatic text retrieval," Inform. Process. and Manag., vol. 24, no. 5, pp. 513-523, 1988.
19. S. Sahni and T. Gonzales, "P-complete approximation algorithms," J. Assoc. Comput. Mach., vol. 23, pp. 555-565, Jul. 1976.
20. K. Helsgaun, An Effective Implementation of the Lin-Kernighan Traveling Salesman Heuristic. Roskilde, Denmark, Roskilde Univ., DATALOGISKE SKRIFTER (Writings on Computer Science), vol. 81, 1998.
21. D. Johnson and L. McGeoch, "The traveling salesman problem: a case study in local optimization," in Local Search in Combinatorial Optimization. New York: Wiley, 1997, pp. 215-310.
22. S. Skiena, The Algorithm Design Manual Dept. Comput. Sci., State Univ. New York, Stony Brook, Springer-Verlag. New York, 1997.
23. M. Schedl, T. Pohle, P. Knees, and G. Widmer, "Assigning and visualizing music genres by web-based co-occurrence analysis," in Proc. 7th Int. Conf. Music Information Retrieval (ISMIR'06), Victoria, Canada, Oct. 2006.