A chorus section detection method for musical audio signals and its application to a music listening station

IEEE Transactions on Audio, Speech and Language Processing

Volumn 14, Issue 5, 2006, Pages 1783-1794

  Goto, Masataka ^a  

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

Author keywords

Chorus detection; Chroma vector; Music structure; Music understanding; Music playback interface

Indexed keywords

ACOUSTIC WAVES; AUTOMATION; COMPUTATIONAL METHODS; DATABASE SYSTEMS; INTERFACES (COMPUTER); SOUND RECORDING;

CHORUS DETECTION; CHROMA VECTORS; MUSIC STRUCTURES; MUSIC UNDERSTANDING; MUSIC-PLAYBACK INTERFACES;

AUDIO ACOUSTICS;

EID: 34147158903     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.863204     Document Type: Article

References (30)

1. M. Goto, "Music scene description project: toward audio-based real-time music understanding," in Proc. Int. Conf. Music Information Retrieval, 2003, pp. 231-232.
2. _, "A real-time music scene description system: Predominant-F0 estimation for detecting melody and bass lines in real-world audio signals," Speech Commun., vol. 43, no. 4, pp. 311-329, 2004.
3. B. Logan and S. Chu, "Music summarization using key phrases," in Proc. IEEE Int. Conf. Acoustics. Speech, Signal Processing , 2000, pp. II-749-II-752.
4. M. A. Bartsch and G. H. Wakefield, "To catch a chorus: using chromabased representations for audio thumbnailing," in Proc. IEEE Workshop Applications of Signal Processing to Audio and Acoustics, 2001, pp. 15-18.
5. M. Cooper and J. Foote, "Automatic music summarization via similarity analysis," in Proc. Int. Conf. Music Information Retrieval, 2002, pp. 81-85.
6. R. B. Dannenberg and N. Hu, "Pattern discovery techniques for music audio," J. New Music Res., vol. 32, no. 2, pp. 153-163, 2003.
7. _, "Discovering musical structure in audio recordings," in Proc. Int. Conf. Music and Artificial Intelligence, 2002, pp. 43-57.
8. G. Peeters, A. L. Burthe, and X. Rodet, "Toward automatic music audio summary generation from signal analysis," in Proc. Int. Conf. Music Information Retrieval, 2002, pp. 94-100.
9. G. Peeters and X. Rodet, "Signal-based music structure discovery for music audio summary generalion," in Proc. Int. Computer Music Conference, 2003, pp. 15-22.
10. J. T. Foote and M. L. Cooper, "Media segmentation using self-similarity decomposition," in Proc. SPIE Storage and Retrieval for Media Databases, vol. 5021, 2003, pp. 167-175.
11. M. Cooper and J. Foole, "Summarizing popular music via structural similarity analysis," in Proc. IEEE Workshop Applications of Signal Processing to Audio and Acoustics, 2003, pp. 127-130.
12. W. Chai and B. Vercoe, "Structural analysis of musical signals for indexing and thumbnailing," in Proc. ACM/IEEE Joint Conf. Digital Libraries, 2003, pp. 27-34.
13. J. Wellhausen and H. Crysandt, "Temporal audio segmenlalion using mpeg-7 descriptors," Proc. SPIE Storage and Retrieval for Media Databases, vol. 5021, pp. 380-387, 2003.
14. J.-J. Aucouturier and M. Sandler, "Finding repeating patterns in acoustic musical signals: Applications for audio thumbnailing," in Proc. AES 22nd Int. Conf. Virtual, Synthetic and Entertainment Audio, 2002, pp. 412-421.
15. M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, "RWC music database: Popular, classical, and jazz music databases," in Proc. Int. Conf. Music Information Retrieval, 2002, pp. 287-288.
16. M. Goto, "Development of the RWC music database," in Proc. Int. Congr. Acoustics, 2004, pp. I-553-I-556.
17. N. Otsu, "A threshold selection method from gray-level histograms." IEEE Trans. Syst., Man, Cybern., vol. SMC-9, no. 1, pp. 62-66, Jan.1 1979.
18. R. N. Shepard, "Circularily in judgmenls of relalive pitch," J. Acoust. Soc. Amer., vol. 36, no. 12, pp. 2346-2353, 1964.
19. B. C. J. Moore, An Introduction to the Psychology of Hearing, 4th ed. New York: Academic, 1997.
20. W. Fujtsaki and M. Kashino, "Basic hearing abilities and characteristics of musical pitch perception in absolute pilch possessors," in Proc. Int. Congr. Acoustics, 2004, pp. V-3607-V-3610.
21. G. H. Wakefield, "Mathematical representation of joint time-chroma distributions," Proc. SPIE, pp. 637-645, 1999.
22. H. Yamada, M. Goto, H. Saruwatari, and K. Shikano, "Multi-timbre chord classification for musical audio signals (in Japanese)," in Proc. Autumn Meeting Acoustical Soc. Japan, Sep. 2002, pp. 641-642.
23. _, "Multi-timbre chord classification method for musical audio signals: Application to musical pieces (in Japanese)," in Proc. Spring Meeting Acoustical Soc. Japan, Mar. 2003, pp. 835-836.
24. T. Fujishima, "Realtime chord recognition of musical sound: A system using common lisp music," in Proc. Int. Computer Music Conf., 1999, pp. 464-467.
25. A. Sheh and D. P. Ellis, "Chord segmentation and recognition using EM-trained hidden Markov models," in Proc. Int. Conf. Music Information Retrieval, 2003, pp. 183-189.
26. T. Yoshioka, T. Kitahara, K. Komatani, T. Ogata, and H. G. Okuno, "Automatic chord transcription with concurrent recognition of chord symbols and boundaries," in Proc. Int. Conf. Music Information Retrieval, 2004, pp. 100-105.
27. A. Savitzky and M. J. Golay, "Smoothing and differentiation of data by simplified least squares procedures," Anal. Chem., vol. 36, no. 8, pp. 1627-1639, 1964.
28. C. J. van Rijsbergen, Information Retrieval, 2nd ed. London, U.K.: Butterworths, 1979.
29. M. Goto, R. Neyama, and Y. Muraoka, "RMCP: Remote music control protocol, design and applications," in Proc. Int. Computer Music Conf., 1997, pp. 446-449.
30. K. Hirata and S. Matsuda, "Interactive music summarization based on GTTM," in Proc. Int. Conf. Music Information Retrieval, 2002, pp. 86-93.