“Yet another Algorithm for Pitch Tracking -YAAPT” was published in a 2010 JASA paper (Zahorian and Hu). Although demonstrated to provide high accuracy and noise robustness for fundamental frequency tracking for both studio quality speech and telephone speech, especially as compared to other well-known algorithms (YIN, Praat, RAPT), YAAPT has not been widely used, possibly due to the difficulty of using it and uncertainty about its effectiveness for difficult conditions. Therefore, more work has been done to improve the algorithm and especially to improve its functionality and ease of use as MATLAB functions. In the present paper, the current version of YAAPT is presented, along with clear documentation for using it, both stand alone and as a function to be called by another program. Experimentally, YAAPT is compared with YIN, Praat, RAPT, and a cepstrum method for studio bandwidth speech and telephone speech for a variety of noise conditions. Experiments are conducted with multiple databases, including American English, British English, and Mandarin Chinese. For most conditions evaluated, YAAPT gives better performance than the other fundamental frequency trackers.
Skip Nav Destination
Article navigation
September 2012
Meeting abstract. No PDF available.
September 01 2012
An experimental comparison of fundamental frequency tracking algorithms Free
Hongbing Hu;
Hongbing Hu
Electrical and Computer Engineering, State University of New York at Binghamton, PO Box 6000, Binghamton, NY [email protected]
Search for other works by this author on:
Stephen Zahorian
Stephen Zahorian
Electrical and Computer Engineering, State University of New York at Binghamton, PO Box 6000, Binghamton, NY [email protected]
Search for other works by this author on:
Hongbing Hu
Electrical and Computer Engineering, State University of New York at Binghamton, PO Box 6000, Binghamton, NY [email protected]
Stephen Zahorian
Electrical and Computer Engineering, State University of New York at Binghamton, PO Box 6000, Binghamton, NY [email protected]
J. Acoust. Soc. Am. 132, 2092 (2012)
Citation
Hongbing Hu, Stephen Zahorian; An experimental comparison of fundamental frequency tracking algorithms. J. Acoust. Soc. Am. 1 September 2012; 132 (3_Supplement): 2092. https://doi.org/10.1121/1.4755733
Download citation file:
110
Views
Citing articles via
Focality of sound source placement by higher (ninth) order ambisonics and perceptual effects of spectral reproduction errors
Nima Zargarnezhad, Bruno Mesquita, et al.
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Variation in global and intonational pitch settings among black and white speakers of Southern American English
Aini Li, Ruaridh Purse, et al.
Related Content
A further comparison of fundamental frequency tracking algorithms
J. Acoust. Soc. Am. (November 2013)
A spectral/temporal method for robust fundamental frequency tracking
J. Acoust. Soc. Am. (June 2008)
Performance analysis of various fundamental frequency estimation algorithms in the context of pathological speech
J. Acoust. Soc. Am. (November 2022)
The importance of optimal parameter setting for pitch extraction
Proc. Mtgs. Acoust. (June 2011)
A frame selective dynamic programming approach for noise robust pitch estimation
J. Acoust. Soc. Am. (April 2018)