Singing voice detection using perceptually-motivated features

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2007, Pages 309-312

  Nwe, Tin Lay ^a   Li, Haizhou ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Harmonic; Singing formant; Singing voice; Timbre; Vibrato

Indexed keywords

BANDPASS FILTERS; INFORMATION ANALYSIS; SENSORY PERCEPTION;

ATTACK-DECAY ENVELOPE; HARMONIC INFORMATION; OCTAVE FREQUENCY; SINGING FORMAT; VOICE DETECTION;

FEATURE EXTRACTION;

EID: 37849020741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1291233.1291299     Document Type: Conference Paper

References (17)

1. Becchetti, C., and Ricotti, L. P. Speech Recognition Theory and C++ Implementation. New York : John Wiley & Sons, 1998
2. Everest, F. A. The Master Handbook of Acoustics. New York, McGraw-Hill, 2001.
3. Fujihara, H., Kitahara, T., Goto, M., Komatani, K., Ogata, T. and Okuno, H. G. F0 estimation method for singing voice in polyphonic audio signal based on statistical vocal model and viterbi search. in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2006, vol. 5, pp. V-253 - V-256.
4. Goto, M. A real-time music-scene-description system: predominant-F0 estimation for detecting melody and bass lines in real-world audio signals. Speech Communication, vol. 43, no. 4, pp. 311-329, September 2004.
5. Hackhaus, W. Die Ausgleichsvorgange. Zeitschrift fur Technische Physik, 1932.
6. Mellody, M., Herseth, F. and Wakefield, G. H. Modal distribution analysis, synthesis, and perception of a soprano's sung vowels. J. Voice, vol. 15, pp. 469-482, December 2001.
7. Nwe, T. L., Foo, S. W., and De Silva, L. C. Stress classification using subband based features. IEICE Trans. Information and Systems, Special Issue on Speech Information Processing, vol. E86-D, no.3, pp. 565-573, March 2003.
8. Nwe, T. L. and Li, H. Exploring vibrato-motivated acoustic features for singer identification. IEEE Transactions, Audio, Speech and Language Processing: vol. 15, no. 2, 2007.
9. Rabiner, L. R., and Juang, B. H. Fundamentals of Speech Recognition. Prentice Hall, Englewood Cliffs, N.J, 1993
10. Sundberg, J. The Acoustics of The Singing Voice, Scientific American, 1977.
11. Sundberg, J. The Science of Singing Voice. Northern Illinois University Press, 1987, ch. 8.
12. Tzanetakis, G. Song-specific bootstrapping of singing voice structure. IEEE Int. Conf. Multimedia and Expo, 2004.
13. Timmers, R., and Desain, P. Vibrato: Questions and answers from musicians and science, in Proc. Int. Conf. Music Perception and Cognition, England, 2000.
14. "Vibrato", Word of the Day. Answers Corporation, 2006. Answers.com 13 Dec. 2006. http://www.answers.com/topic/vibrato
15. Wakefield, G. H. and Bartsch, M. A. Where's Caruso? Singer identification by listener and machine. Cambridge Music Processing Colloquium, Cambridge, England, 2003.
16. Winckell, F. Music, sound and sensation. Dover, NY, 1967.
17. Zhang, T. System and method for automatic singer identification. IEEE Int. Conf. Multimedia and Expo, Baltimore, MD, 2003.