Automatic singer recognition of popular music recordings via estimation and modeling of solo vocal signals

IEEE Transactions on Audio, Speech and Language Processing

Volumn 14, Issue 1, 2006, Pages 330-341

  Tsai, Wei Ho ^a,b   Wang, Hsin Min ^a,b,c,d  

^a IEEE   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^c NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^d ACLCLP ^*  (Taiwan)

Author keywords

Music information retrieval; Singer detection; Singer identification; Singer tracking

Indexed keywords

MUSIC INFORMATION RETRIEVAL; SINGER DETECTION; SINGER IDENTIFICATION; SINGER TRACKING;

EVALUATION; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; SIGNAL PROCESSING; STEREOPHONIC RECORDINGS;

SPEECH RECOGNITION;

EID: 33744976289     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.854091     Document Type: Conference Paper

References (28)

1. A. S. Durey and M. A. Clements, "Features for melody spotting using hidden Markov models," in Proc. IEEE Int. Conf. Acoustics, Speech; Signal Processing, Orlando, FL, 2002, pp. 1765-1768.
2. M. A. Akeroyd, B. C. J. Moore, and G. A. Moore, "Melody recognition using three types of dichotic-pitch stimulus," J. Acoust. Soc. Amer., vol. 110, no. 3, pp. 1498-1504, 2001.
3. P. Herrera, X. Amatriain, E. Batlle, and X. Serra, "Toward instrument segmentation for music content description: A critical review of instrument classification techniques," in Proc. 1st Int. Symp. Music Information Retrieval, Plymouth, MA, 2000.
4. A. Eronen, "Musical instrument recognition using ICA-based transform of features and discriminatively trained HMMs," in Proc. 7th Int. Symp. Signal Processing Applications, Paris, France, 2003, pp. 133-136.
5. G. Tzanetakis and P. Cook, "Musical genre classification of audio signals," IEEE Trans. Speech Audio Processing, vol. 10, no. 5, pp. 293-302, Jul. 2002.
6. C. Xu, N. C. Maddage, X. Shao, F. Cao, and Q. Tian, "Musical genre classification using support vector machines," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Hong Kong, 2003, pp. 429-432.
7. D. Byrd and T. Crawford, "Problems of music information retrieval in the real word," Inform. Process. Manage., vol. 38, pp. 249-272, 2002.
8. J. L. Hsu, C. C. Liu, and A. L. P. Chen, "Discovering nontrivial repeating patterns in music data," IEEE Trans. Multimedia, vol. 3, no. 3, pp. 311-325, Sep. 2001.
9. Y. E. Kim and B. Whitman, "Singer identification in popular music recordings using voice coding features," in Proc. 3rd Int. Conf. Music Information Retrieval, Paris, France, 2002, pp. 164-169.
10. C. C. Liu and C. S. Huang, "A singer identification technique for content-based classification of MP3 music objects," in Proc. Int. Conf. Information and Knowledge Management, McLean, VA, 2002, pp. 438-445.
11. T. Zhang, "Automatic singer identification," in Proc. IEEE Int. Conf. Multimedia Expo, Baltimore, MD, 2003.
12. M. A. Bartsch and G. H. Wakefield, "Singing voice identification using spectral envelope estimation," IEEE Trans. Speech Audio Process., vol. 12, no. 2, pp. 100-109, Mar. 2004.
13. W. H. Tsai, H. M. Wang, and D. Rodgers, "Automatic singer identification of popular music recordings via estimation and modeling of solo vocal signal," in Proc. 8th Eur. Conf. Speech Communication and Technology, Geneva, Switzerland, 2003.
14. B. Whitman, G. Flake, and S. Lawrence, "Artist detection in music with minnowmatch," in Proc. IEEE Workshop on Neural Networks for Signal Processing, Falmouth, MA, 2001, pp. 559-568.
15. A. Berenzweig, D. P. W. Ellis, and S. Lawrence, "Using voice segments to improve artist classification of music," in Proc. Int. Conf. Virtual, Synthetic, and Entertainment Audio, Espoo, Finland, 2002.
16. J. P. Campbell, "Speaker recognition: A tutorial," Proc. IEEE, vol. 85, no. 9, pp. 1437-1462, Sep. 1997.
17. D. A. Reynolds and R. C. Rose, "Robust text-independent speaker identification using Gaussian mixture speaker models," IEEE Trans. Speech Audio Process., vol. 3, pp. 72-83, 1995.
18. A. L. Berenzweig and D. P. W. Ellis, "Locating singing voice segments within music signals," in Proc. IEEE Workshop Applications of Signal Processing to Audio and Acoustics, New York, 2001, pp. 119-122.
19. P. R. Cook, "Identification of control parameters in an articulatory vocal tract model, with applications to the synthesis of singing," Ph.D., Stanford Univ., Stanford, CA, 1990.
20. B. Logan, "Mel frequency cepstral coefficients for music modeling," in Proc. 1st Int. Symp, Music Information Retrieval, Plymouth, MA, 2000.
21. M. R. Anderberg, Cluster Analysis for Applications. New York: Academic, 1973.
22. A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. R. Statist. Soc., vol. 39, pp. 1-38, 1977.
23. A. K. Jain, R. P. W. Duin, and J. Mao, "Statistical pattern recognition: A review," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 1, pp. 4-37, Jan. 2000.
24. A. Nadas, D. Nahamoo, and M. A. Picheny, "Speech recognition using noise-adaptive prototypes," IEEE Trans. Acoust., Speech, Signal Process., vol. 37, no. 10, pp. 1495-1503, Oct. 1989.
25. R. C. Rose, E. M. Hofstetter, and D. A. Reynolds, "Integrated models of signal and background with application to speaker identification in noise," IEEE Trans. Speech Audio Process., vol. 2, no. 2, pp. 245-257, Apr. 1994.
26. W. H. Tsai, H. M. Wang, D. Rodgers, S. S. Cheng, and H. M. Yu, "Blind clustering of popular music recordings based on singer voice characteristics," in Proc. 4th Int. Conf. Music Information Retrieval, Baltimore, MD, 2003.
27. A. Martin, G. Doddington, T. Kamm, M. Ordowski, and M. Przybocki, "The DET curve in assessment of detection task performance," in Proc. 5th Eur. Conf. Speech Communication and Technology, Rhodes, Greece, 1997.
28. D. M. Green and J. A. Swets, Signal Detection Theory and Psychophysics. Los Altos, CA: Peninsula, 1988.