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A versatile pitch tracking algorithm: From human speech to killer whale vocalizations
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10.1121/1.3132525
/content/asa/journal/jasa/126/1/10.1121/1.3132525
http://aip.metastore.ingenta.com/content/asa/journal/jasa/126/1/10.1121/1.3132525

Figures

Image of FIG. 1.
FIG. 1.

Spectrograms of various killer whale calls, labeled by call type, and generated using a 2048-point FFT with 50% overlap and a Hamming window.

Image of FIG. 2.
FIG. 2.

Examples of “template-frame” and “cross-frame” correlations for DLFT spectrum.

Image of FIG. 3.
FIG. 3.

Pseudo-code of the DLFT-PDA.

Image of FIG. 4.
FIG. 4.

(a) Fourier transform and (b) -law-compressed DLFT for a speech signal. Positions of harmonic peaks are indicated by ruler tick marks in the plots.

Image of FIG. 5.
FIG. 5.

Spectrograms of killer whale calls overlaid with pitch tracks computed by the DLFT-PDA. All calls contain a LFC but only the call in the upper right contains a HFC.

Image of FIG. 6.
FIG. 6.

Histogram of GERs for LFCs (top) and HFCs (bottom).

Image of FIG. 7.
FIG. 7.

Histogram of FE for LFCs (top) and HFCs (bottom).

Tables

Generic image for table
TABLE I.

Parameter settings for tracking killer whale calls. is the number of pitch hypotheses in the search space. See text for details.

Generic image for table
TABLE II.

Performance of DLFT-PDA, peak-picking, and sidewinder algorithms on the LFCs and HFCs of killer whale calls with different SNRs. The average SNR and the number of contours evaluated in each condition are also provided in the table. GER is the 20% gross error rate. FE is the mean of the normalized absolute fine error. See text for details.

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/content/asa/journal/jasa/126/1/10.1121/1.3132525
2009-07-01
2014-04-19
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: A versatile pitch tracking algorithm: From human speech to killer whale vocalizations
http://aip.metastore.ingenta.com/content/asa/journal/jasa/126/1/10.1121/1.3132525
10.1121/1.3132525
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