We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
Reseach Article

Speech Enhancement based on Savitzky–Golay Smoothing Filter

by Shajeesh K.u, Sachin Kumar S, Pravena D., K. P. Soman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 21
Year of Publication: 2012
Authors: Shajeesh K.u, Sachin Kumar S, Pravena D., K. P. Soman
10.5120/9240-3876

Shajeesh K.u, Sachin Kumar S, Pravena D., K. P. Soman . Speech Enhancement based on Savitzky–Golay Smoothing Filter. International Journal of Computer Applications. 57, 21 ( November 2012), 39-44. DOI=10.5120/9240-3876

@article{ 10.5120/9240-3876,
author = { Shajeesh K.u, Sachin Kumar S, Pravena D., K. P. Soman },
title = { Speech Enhancement based on Savitzky–Golay Smoothing Filter },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 21 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number21/9240-3876/ },
doi = { 10.5120/9240-3876 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:14.124174+05:30
%A Shajeesh K.u
%A Sachin Kumar S
%A Pravena D.
%A K. P. Soman
%T Speech Enhancement based on Savitzky–Golay Smoothing Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 21
%P 39-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech denoising is the process of removing unwanted sounds from the speech signal. In the presence of noise, it is difficult for the listener to understand the message of the speech signal. Also, the presence of noise in speech signal will degrade the performance of various signal processing tasks like speech recognition, speaker recognition, speaker verification etc. Many methods have been widely used to eliminate noise from speech signal like linear and nonlinear filtering methods, total variation denoising, wavelet based denoising etc. This paper addresses the problem of reducing additive white Gaussian noise from speech signal while preserving the intelligibility and quality of the speech signal. The method is based on Savitzky-Golay smoothing filter, which is basically a low pass filter that performs a polynomial regression on the signal values. The results of S-G filter based denoising method are compared against two widely used enhancement methods, Spectral subtraction method and Total variation denoising. Objective and subjective quality evaluation are performed for the three speech enhancement schemes. The results show that S-G based method is ideal for the removal of additive white Gaussian noise from the speech signals.

References
  1. S. ChinaVenkateswarlu, K. Satya Prasad and SubbaRami Reddy, "Improve Speech Enhancement Using Weiner Filtering", Global Journal of Computer Science and Technology, Vol. 11, Iss. 7, Ver 1. 0, May 2011.
  2. S. V. Vasighi and P. J. W. Rayner, "Detection and suppression of impulsive noise in speech communication systems,IEE Proc. of Communications, Speech and Vision, vol. 137, Pt. 1, no. 12, pp. 38-46, February 1990.
  3. B. Yegnanarayana, Carlos Avendano, HynekHermansky and P. Satyanarayana Murthy, "Speech enhancement using linear prediction residual", Elsevier Speech Communication, Vol. 28, No. 1, pp. 25–42, May 1999.
  4. M. Berouti, R. Schwartz, and J. Makhoul, "Enhancement of speech corrupted by acoustic noise", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 208–211, March 1979.
  5. Dalei Wu, Wei-Ping Zhu, and M N S Swamy, "A compressive sensing method for noise reduction of speech and audio signals", Proceedings of IEEE International Midwest Symposium on Circuits and Systems, Vol. 7, No. 10, pp. 1-4, August 2011.
  6. SaeedGazor and Wei Zhang, "Speech Enhancement Employing Laplacian–Gaussian Mixture", IEEE Transactions on Audio, Speech, and Language Processing, Vol. 13, No. 5, September 2005.
  7. Hu, Y. , Loizou, P. C. , "Evaluation of Objective Quality Measures for Speech Enhancement". IEEE Trans. on audio, speech and language processing, Vol. 16, No. 1, pp. 229-238, January 2008.
  8. Upadhyay, Navneet, Karmakar and Abhijit, "The spectral subtractive-type algorithms for enhancing speech in noisy environments," 2012, 1st International Conference on Recent Advances in Information Technology (RAIT) , pp. 841-847, 15-17, March 2012.
  9. Miyazaki. R, Saruwatari. H, Inoue. T, Takahashi Y, Shikano K and Kondo. K, "Musical-Noise-Free Speech Enhancement Based on Optimized Iterative Spectral Subtraction," IEEE Transactions onAudio, Speech, and Language Processing, 2012.
  10. Ivan W. Selesnick and IlkerBayram, "Total Variation Filtering," February 4, 2010.
  11. G. R Vogel and M. E. Oman, "Iterative methods for total variation denoising", SIAM J. Sci. Computing.
  12. A. Savitzky and M. J. E. Golay, "Soothing and differentiation of data by simplified least squares procedures," Anal. chem. , vol. 36, pp. 1627–1639, 1964.
  13. J. Riordon, E. Zubritsky, and A. Newman, "Top 10 articles," Anal. Chem. , vol. 72, no. 9, pp. 24A– 329A, May 2000.
  14. Ronald W. Schafer, "What Is a Savitzky-Golay Filter?", IEEE Signal Processing Magazine, July 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Speech Enhancement Savitzky–Golay filter Noise removal Speech Signal Denoising