Semi-automatic classification of bird vocalizations using spectral peak tracks

Journal of the Acoustical Society of America

Volumn 120, Issue 5, 2006, Pages 2974-2984

  Chen, Zhixin ^a   Maher, Robert C ^a  

^a Montana State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SOFTWARE; MATHEMATICAL MODELS; REAL TIME SYSTEMS; SPECTRUM ANALYSIS;

BIRD VOCALIZATIONS; PATTERN DETECTION; TIME-VARIANT ANALYSIS;

SPEECH RECOGNITION;

ANIMAL EXPERIMENT; ARTICLE; AUTOMATIC SPEECH RECOGNITION; BIRD; COMPUTER PROGRAM; CONTROLLED STUDY; FREQUENCY MODULATION; NONHUMAN; PRIORITY JOURNAL; SIMULATION; SOUND DETECTION; SPECTROSCOPY; SPEECH DISCRIMINATION; VOCALIZATION;

ANIMALS; AUTOMATIC DATA PROCESSING; BIRDS; COMPUTER SIMULATION; MODELS, BIOLOGICAL; NOISE; SOUND SPECTROGRAPHY; VOCALIZATION, ANIMAL;

EID: 33750282566     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.2345831     Document Type: Article

References (24)

1. Anderson, S. E., Dave, A. S., and Margoliash, D. (1996). " Template-based automatic recognition of birdsong syllables from continuous recordings., " J. Acoust. Soc. Am. 100, 1209-1219.
2. Catchpole, C. K., and Slater, P. J. B. (1995). Bird Song: Biological Themes and Variation (Cambridge University Press, Cambridge, UK).
3. Duda, R. O., Hart, P. E., and Stork, D. G. (2001). Pattern Classification, 2nd ed. (Wiley, New York).
4. Ellis, D. P. W. (2003). " Sinewave and sinusoid+noise analysis/synthesis in MATLAB., " Electronic document, URL: 〈 http://www.ee.columbia.edu/∼dpwe/resources/matlab/sinemodel 〉.
5. Fagerlund, S. (2004). " Automatic recognition of bird species by their sounds., " Masters thesis, Laboratory of Acoustics and Audio Signal Processing, Helsinki Univ. of Technology, Laboratory of Acoustics and Audio Signal Processing.
6. Härmä, A. (2003). " Automatic identification of bird species based on sinusoidal modeling of a syllable., " IEEE Int. Conf. Acoust. Speech and Signal Processing (ICASSP 2003), 5, 545-548.
7. Härmä, A., and Somervuo, P. (2004). " Classification of the harmonic structure in bird vocalization., " IEEE Int. Conf. Acoust. Speech, Signal Processing (ICASSP 2004), 5, 701-704.
8. Ito, K., Mori, K., and Iwasaki, S. (1996). " Application of dynamic programming matching to classification of budgerigar contact calls., " J. Acoust. Soc. Am. 100, 3947-3956.
9. Kahrs, M., and Avanzini, F. (2001). " Computer synthesis of bird songs and calls., " Proc. Conf. Digital Audio Effects (DAFx-01), pp. 23-27.
10. Kogan, J. A., and Margoliash, D. (1998). " Automated recognition of bird song elements from continuous recordings using dynamic time warping and hidden Markov models: A comparative study., " J. Acoust. Soc. Am. 103, 2185-2196.
11. Krebs, J. R., and Kroodsma, D. E. (1980). " Repertoires and geographical variation in bird song., " Journal of Advances in the Study of Behavior 11, 143-177.
12. Kroodsma, D. E., and Miller, E. H. (1996). Ecology and Evolution of Acoustic Communication in Birds (Comstock, Ithaca, NY).
13. McAulay, R. J., and Quatieri, T. F. (1986). " Speech analysis/synthesis based on a sinusoidal representation., " IEEE Trans. Acoust., Speech, Signal Process. 34, 744-754.
14. McIlraith, A. L., and Card, H. C. (1997). " Birdsong recognition using backpropagation and multivariate statistics., " IEEE Trans. Signal Process. 45, 2740-2748.
15. National Wind Coordinating Committee (NWCC) (2004). " Wind-turbine interactions with birds and bats: a summary of research results and remaining questions., " RESOLVE, Washington, DC.
16. Nowicki, S. (1997). " Bird acoustics., " in Encyclopedia of Acoustics, edited by, M. J. Crocker, (Wiley, New York), Chap., pp. 1813-1817.
17. Pascarelle, S. M., Pinezich, J., Merritt, R. L., Kelly, T. A., Roman, B., and Maher, R. C. (2004). " Automated acoustic monitoring of bird strike hazards., " 6th Annual Meeting of the Bird Strike Committee USA/Canada, Baltimore, MD, September, 2004.
18. Rabiner, L. R., Rosenberg, A. E., and Levinson, S. E. (1978). " Considerations in dynamic time warping algorithms for discrete word recognition., " IEEE Trans. Acoust., Speech, Signal Process. 26, 575-582.
19. Rabiner, L. R. (1989). " A tutorial on hidden markov models and selected applications in speech recognition., " Proc. IEEE 77, 257-286.
20. Rabiner, L. R., and Juang, B. H. (1993). Fundamentals of Speech Recognition (Prentice-Hall, Englewood Cliffs, NJ).
21. Smith, J. O., and Serra, X. (1987). " PARSHL: An analysis/synthesis program for non-harmonic sounds based on a sinusoidal representation., " Proc. Int. Computer Music Conf., San Francisco, Computer Music Association.
22. Vintsyuk, T. K. (1971). " Element-wise recognition of continuous speech composed of words from a specified dictionary., " Journal of Cybernetics and Systems Analysis, 7 (2), 361-372.
23. Viterbi, A. J. (1967). " Error bounds for convolutional codes and an asymptotically optimum decoding algorithm., " IEEE Trans. Inf. Theory 13, 260-269.
24. Zheng, F., Zhang, G. L., and Song, Z. J. (2001). " Comparison of different implementations of MFCC., " Journal of Computer Science & Technology, 16 (6), 582-589.