A versatile pitch tracking algorithm: from human speech to killer whale vocalizations.
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.
Shapiro
Ari Daniel
AD
Department of Biology, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts 02543, USA. ashapiro@whoi.edu
Wang
Chao
C
D000162:Acoustics; D000465:Algorithms; D000818:Animals; D005583:Fourier Analysis; D006801:Humans; D013018:Sound Spectrography; D013060:Speech; D013061:Speech Acoustics; D049250:Speech Recognition Software; D014828:Vocalization, Animal; D050685:Whale, Killer