Journal
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
Volume 126, Issue 1, Pages 451-459Publisher
ACOUSTICAL SOC AMER AMER INST PHYSICS
DOI: 10.1121/1.3132525
Keywords
acoustic signal detection; biocommunications; Fourier transforms; target tracking
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Funding
- DARPA [N66001-96-C-8526]
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In this article, a pitch tracking algorithm [named discrete logarithmic Fourier transformation-pitch detection algorithm (DLFT-PDA)], originally designed for human telephone speech, was modified for killer whale vocalizations. The multiple frequency components of some of these vocalizations demand a spectral (rather than temporal) approach to pitch tracking. The DLFT-PDA algorithm derives reliable estimations of pitch and the temporal change of pitch from the harmonic structure of the vocal signal. Scores from both estimations are combined in a dynamic programming search to find a smooth pitch track. The algorithm is capable of tracking killer whale calls that contain simultaneous low and high frequency components and compares favorably across most signal to noise ratio ranges to the peak-picking and sidewinder algorithms that have been used for tracking killer whale vocalizations previously.
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