Automated extraction of odontocete whistle contours

Journal of the Acoustical Society of America

Volumn 130, Issue 4, 2011, Pages 2212-2223

  Roch, Marie A ^a   Scott Brandes, T ^b   Patel, Bhavesh ^a   Barkley, Yvonne ^c   Baumann Pickering, Simone ^d   Soldevilla, Melissa S ^e  

^a San Diego State University   (United States)

^b Signal Innovations Group Inc   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e DUKE UNIVERSITY MARINE LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED EXTRACTION; BAYESIAN FILTERING; BOTTLENOSE DOLPHINS; COMMON SIGNAL PROCESSING; DENSITY ESTIMATION; FREQUENCY MODULATED; FRONT END; GRAPH ALGORITHMS; MELON-HEADED WHALE; ODONTOCETES; PARTICLE FILTER; RECALL RATE; SOUND ARCHIVES; SOUTHERN CALIFORNIA BIGHT; SPECTRAL PEAK; SPECTROGRAMS; TIME FREQUENCY;

ALGORITHMS; FREQUENCY ESTIMATION; NONLINEAR FILTERING; SIGNAL PROCESSING; SIGNALING;

DOLPHINS (STRUCTURES);

ALGORITHM; ANIMAL; ARTICLE; BAYES THEOREM; COMPARATIVE STUDY; DOLPHIN; PHYSIOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING; SOUND DETECTION; TIME; VOCALIZATION;

ALGORITHMS; ANIMALS; BAYES THEOREM; DOLPHINS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND SPECTROGRAPHY; TIME FACTORS; VOCALIZATION, ANIMAL;

EID: 82255196635     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.3624821     Document Type: Article

References (33)

1. Adam, O. (2008). Segmentation of killer whale vocalizations using the Hilbert-Huang transform., EURASIP J. Adv. Signal Process. doi: 10.1155/2008/245936.
2. Arulampalam, M. S., Maskell, S., Gordon, N., and Clapp, T. (2002). A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking., IEEE Trans. Signal Process. 50 (2), 174-188. (Pubitemid 34291500)
3. Barbarossa, S., Scaglione, A., and Giannakis, G. B. (1998). Product high-order ambiguity function for multicomponent polynomial-phase signal modeling., IEEE Trans. Signal Process. 46 (3), 691-708. (Pubitemid 128743774)
4. Brown, J. C., and Miller, P. J. O. (2007). Automatic classification of killer whale vocalizations using dynamic time warping., J. Acoust. Soc. Am. 122 (2), 1201-1207. (Pubitemid 47205517)
5. Buck, J. R., and Tyack, P. L. (1993). A quantitative measure of similarity for Tursiops truncatus signature whistles., J. Acoust. Soc. Am. 94 (5), 2497-2506. (Pubitemid 23331169)
6. Cormen, T. H., Leiserson, C. E., and Rivest, R. L. (1990). Introduction to Algorithms (MIT Press, Cambridge, MA), p. 1028.
7. Datta, S., and Sturtivant, C. (2002). Dolphin whistle classification for determining group identities., Signal Processing 82 (2), 127-327.
8. Dierckx, P. (1993). Curve and Surface Fitting with Splines (Oxford Science Publications, Oxford), p. 285.
9. Dillon, W. R., and Goldstein, M. (1984). Multivariate Analysis, Methods and Applications (Wiley, New York), p. 587.
10. Doucet, A., de Freitas, N., and Gordon, N. (2001). An introduction to sequential Monte Carlo Methods., in Sequential Monte Carlo Methods in Practice, edited by, A. Doucet, N. De Freitas, and, N. Gordon, (Springer, New York), p. 581.
11. Fisher, F. H., and Spiess, F. N. (1963). FLIP-FLoating Instrument Platform., J. Acoust. Soc. Am. 35 (10), 1633-1644.
12. Gillespie, D., Gordon, J., McHugh, R., McLaren, D., Mellinger, D. K., Redmond, P., Thode, A., Trinder, P., and Deng, X.-Y. (2008). PAMGUARD: Semiautomated, open source software for real-time acoustic detection and localisation of cetaceans., Proc. Inst. Acoustics.
13. Gordon, N. J., Salmond, D. J., and Smith, A. F. M. (1993). Novel-approach to nonlinear non-Gaussian Bayesian state estimation.. IEE Proc. F 140 (2), 107-113.
14. Halkias, X. C., and Ellis, D. P. W. (2006). Call detection and extraction using Bayesian inference., Appl. Acoust. 67 (11-12), 1164-1174. (Pubitemid 44403875)
15. Heimlich, S., Klinck, H., and Mellinger, D. K. (2011). The Moby Sound Database for Research in the Automatic Recognition of Marine Mammal Calls, http://www.mobysound.org/ (Last viewed on April 1, 2011).
16. Heyning, J. E., and Perrin, W. F. (1994). Evidence for two species of common dolphins (genus Delphinus) from the eastern North Pacific., Contr. Sci (Los Angeles) 442, 1-35.
17. Ioana, C., Gervaise, C., Stphan, Y., and Mars, J. I. (2010). Analysis of underwater mammal vocalizations using time-frequency-phase tracker., Appl. Acoust. 71 (11), 1070-1080.
18. Kitagawa, G. (1996). Monte Carlo filter and smoother for non-gaussian nonlinear state space models., J. Comput. Graph. Stat. 5 (1), 1-25.
19. Lammers, M. O., Au, W. W. L., and Herzing, D. L. (2003). The broadband social acoustic signaling behavior of spinner and spotted dolphins., J. Acoust. Soc. Am. 114 (3), 1629-1639. (Pubitemid 37075737)
20. Mallawaarachchi, A., Ong, S. H., Chitre, M., and Taylor, E. (2008). Spectrogram denoising and automated extraction of the fundamental frequency variation of dolphin whistles., J. Acoust. Soc. Am. 124 (2), 1159-1170.
21. Marques, T. A., Thomas, L., Ward, J., DiMarzio, N., and Tyack P. L. (2009). Estimating cetacean population density using fixed passive acoustic sensors: An example with Blainville's beaked whales., J. Acoust. Soc. Am. 125 (4), 1982-1994.
22. Mellinger, D. K. (2001). Ishmael 1.0 User's Guide. NOAA PMEL, Seattle, OAR-PMEL-120, p. 30.
23. Musso, C., Oudjane, C., and LeGland, F. (2001). Improving regularized particle filters., in Sequential Monte Carlo Methods in Practice, edited by, A. Doucet, N. De Freitas, and, N. Gordon, (Springer, New York), pp. 247-721.
24. Nilsson, N. J. (1980). Principles of Artificial Intelligence (Tioga, Palo Alto, CA), p. 476.
25. Oswald, J. N., Barlow, J., and Norris, T. F. (2003). Acoustic identification of nine delphinid species in the eastern tropical Pacific ocean., Mar. Mammal Sci. 19 (1), 20-37. (Pubitemid 36087450)
26. Oswald, J. N., Rankin, S., Barlow, J., and Lammers, M. O. (2007). A tool for real-time acoustic species identification of delphinid whistles., J. Acoust. Soc. Am. 122 (1), 587-595. (Pubitemid 47365970)
27. Papoulis, A. (1991). Probability, Random Vriables, and Stochastic Processes (McGraw-Hill, New York), p. 666.
28. Press, W. H. (1992). Numerical Recipes in C: the Art of Scientific Computing (Cambridge University Press, Cambridge), p. 994.
29. Shapiro, A. D., and Wang, C. (2009). A versatile pitch tracking algorithm: From human speech to killer whale vocalizations., J. Acoust. Soc. Am. 126 (1), 451-459.
30. Shi, Y., and Chang, E. (2003). Spectrogram-based formant tracking via particle filters., Intl. Conf. Acoust., Speech, Signal Proc. (ICASSP), Hong Kong, China, pp. I-168-I-171.
31. Wang, D., Wursig, B., and Evans, W. (1995). Comparisons of whistles among seven odontocete species., in Sensory Systems of Aquatic Mammals, edited by, R. A. Kastelein, J. A. Thomas, P. E. Nachtigall, (De Spil, Woerden, NL), pp. 299-323.
32. Watkins, W. A. (1967). The harmonic interval: Fact or artifact in spectral analysis of pulse trains., in Symposium on Marine Bio-Acoustics, edited by, W. N. Tavolga, (Pergamon Press, New York), pp. 15-43.
33. White, P. R., and Hadley, M. L. (2008). Introduction to particle filters for tracking applications in the passive acoustic monitoring of cetaceans., Can. Acoust. 36 (1), 146-152.