Abstract
A model of singular estimation process of speech fundamental pitch frequency is reviewed. Existing solutions for the known classes of mathematical problems (Singular spectrum analysis, fast Fourier transform, and convolution) are used to develop a numerical implementation of the model. The evaluation of the fundamental pitch frequency with existing algorithms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cheveigne A., Kawahara H.: Comparative evaluation of F0 estimation algorithms. In: Proceedings Eurospeech (2001)
Karpov, A., Ronzhin, A., Kipyatkova, I.: An assistive bi-modal user interface integrating multi-channel speech recognition and computer vision. In: Jacko, J.A. (ed.) Human-Computer Interaction, Part II, HCII 2011. LNCS, vol. 6762, pp. 454–463. Springer, Heidelberg (2011)
Budkov, V.Y., Ronzhin, A.L., Glazkov, S.V., Ronzhin, A.L.: Event-driven content management system for smart meeting room. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds.) NEW2AN 2011 and ruSMART 2011. LNCS, vol. 6869, pp. 550–560. Springer, Heidelberg (2011)
Ronzhin, A.L., Budkov, V.Y., Karpov, A.A.: Multichannel system of audio-visual support of remote mobile participant at e-meeting. In: Balandin, S., Dunaytsev, R., Koucheryavy, Y. (eds.) ruSMART 2010. LNCS, vol. 6294, pp. 62–71. Springer, Heidelberg (2010)
Talkin D. A.: Robust algorithm for pitch tracking (RAPT). In: Entropic Research Laboratory Suite 202, 600 Pennsylvania Ave. 20003, pp. 495–518 (1995)
Cheveigne, A., Kawahara, H.: YIN, a fundamental frequency estimator for speech and music. JASA 111(4), 1917–1930 (2002)
Camacho, A., Harris, J.G.: A sawtooth waveform inspired pitch estimator for speech and music. JASA 123(4), 1638–1652 (2008)
Hermes, D.J.: Measurement of pitch by subharmonic summation. JASA 83, 257–264 (1988)
Bondarenko, V.P., Konev, A.A., Meshcheryakov, R.V.: Segmentation and parametrisation of a speech signal. Izvestiya Vysshikh Uchebnykh Zavedenii 50(10), 3–7 (2007). (in Russ.)
Azarov E., Vashkevich M., Petrovsky A.: Instantaneous pitch estimation based on RAPT framework. In: Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012), Bucharest, pp. 2787–2791 (2012)
Golyandina, N., Zhigljavsky, A.: Singular Spectrum Analysis for Time Series. Springer Briefs in Statistics, p. 120. Springer, Heidelberg (2013)
Golub, G.H., Van Loan, C.F.: Matrix computations, 3rd edn. The Johns Hopkins University Press, Baltimore (1996)
Brillinger, D.R.: Time Series Data Analysis and Theory. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2001)
Bagshaw P.C.: Automatic prosodic analysis for computer aided pronunciation teaching. Ph.D. thesis, University of Edinburgh, Edinburgh (1994)
Rabiner, L.R., Cheng, M.J., Rosenberg, A.E.: A comparative study of several pitch detection algorithms. IEEE Trans. Acoust. Speech 24, 399–423 (1976)
Keele Pitch Database Keele Pitch Database. http://www.icocla.it/keele.html
Paul Bagshaw’s Database for evaluating pitch determination algorithms. http://www.cstr.ed.ac.uk/research/projects
Disordered Voice Database. http://www.kayelemetrics.com
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Volf, D., Meshcheryakov, R., Kharchenko, S. (2015). The Singular Estimation Pitch Tracker. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_56
Download citation
DOI: https://doi.org/10.1007/978-3-319-23132-7_56
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23131-0
Online ISBN: 978-3-319-23132-7
eBook Packages: Computer ScienceComputer Science (R0)