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Simplistic Implementation of Realtime Pitch Estimation using Pulse Modelling Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 33 - Number 10 |
| Year of Publication: 2011 |
| Authors: Jason Fernandes, Kelvin D'souza |
10.5120/4055-5824
|
Jason Fernandes, Kelvin D'souza . Simplistic Implementation of Realtime Pitch Estimation using Pulse Modelling Approach. International Journal of Computer Applications. 33, 10 ( November 2011), 13-17. DOI=10.5120/4055-5824
Abstract
In the realm of speech processing, pitch estimation is considered to be a very important tool for various applications in speech processing, thus many algorithms and methods have already been developed for pitch estimation. This paper presents a new and relatively simple method for estimating the pitch of a speech signal as compared to other algorithms and methods which have been applied. In this method of pitch estimation, the speech signal is filtered and then passed as a trigger to a switch whose one input is a pulse generator and the other is a reference potential. The number of pulses generated will be proportional to the frequency of the speech signal.
References
- Dominik Joho, MarenBennewitz, and Sven Behnke“Pitch Estimation Using Models of voiced speech on three levels”, Proceedings of 2007 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
- MarekSzczerba&AndrzejCzyżewski “Pitch Estimation Enhancement Employing Neural Network- Based Music Prediction”, Sound & VisionEngineeringDepartmentTechnicalUniversity of Gdańskul.Narutowicza.
- Sergio Roa, MarenBennewitz, and Sven Behnke “Fundamental Frequency Estimation based on Pitch-Scaled Harmonic Filtering”, University of Freiburg Department of Computer Science.
- Hess W.,“PitchDetermination of Speech signals: Algorithms and Devices”, Springer Verlag, Berlin Heidelberg, New York, Tokyo, 1983.
- Dushyant Sharma, Patrick. A. Naylor “Evaluation of Pitch Estimation in Noisy Speech for Application in Non-Intrusive Speech Quality Assessment” Department of Electrical and Electronic Engineering, ImperialCollege, London, UK
- Lawrence R. Rabiner, Michael J. Cheng, Aaron E. Rosenberg, Carol A. McGonegal “AComparative Performance Study of Several PitchDetection Algorithms” IEEE Transactions on Acoustics Speech and Signal Processing, VOL. ASSP-24,NO. 5, OCTOBER 1976
- M. J. Ross, H. L. Shaffer, A. Cohen, R. Freudberg, and H. J. Manley, "Average magnitude difference function pitch extractor," IEEE Trans. Acoust., Speech, Signal Processing, vol.ASSP-22, pp. 353—362, Oct. 1974.
- Yipeng Li and DeLiang Wang “Pitch Detection in Polyphonic Music Using Instrument Tone Models” Department of Computer Science and Engineering&Center for Cognitive ScienceThe OhioStateUniversity.
- M. Wu, D. L.Wang, and G. Brown, “A Multipitch Tracking Algorithm for Noisy Speech,” IEEE Transactions on Speech andAudio Processing, vol. 11, no. 3,pp. 229–241, 2003.
- J. D. Market, "The SIFT algorithm for fundamental frequency estimation," IEEE Trans. Audio Electroacoust., vol. AU-20, pp. 367—377, Dec. 1972.
- J. D. Markel and A. H. Gray, Linear Prediction of Speech. NewYork: Springer, 1976.
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