CFP last date
22 April 2024
Reseach Article

A Review of Speech Signal Enhancement Techniques

by Devyani S. Kulkarni, Ratnadeep R. Deshmukh, Pukhraj P. Shrishrimal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 14
Year of Publication: 2016
Authors: Devyani S. Kulkarni, Ratnadeep R. Deshmukh, Pukhraj P. Shrishrimal
10.5120/ijca2016909507

Devyani S. Kulkarni, Ratnadeep R. Deshmukh, Pukhraj P. Shrishrimal . A Review of Speech Signal Enhancement Techniques. International Journal of Computer Applications. 139, 14 ( April 2016), 23-26. DOI=10.5120/ijca2016909507

@article{ 10.5120/ijca2016909507,
author = { Devyani S. Kulkarni, Ratnadeep R. Deshmukh, Pukhraj P. Shrishrimal },
title = { A Review of Speech Signal Enhancement Techniques },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 14 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number14/24668-2016909507/ },
doi = { 10.5120/ijca2016909507 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:41:03.157128+05:30
%A Devyani S. Kulkarni
%A Ratnadeep R. Deshmukh
%A Pukhraj P. Shrishrimal
%T A Review of Speech Signal Enhancement Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 14
%P 23-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech is the most natural and the most effective way of communication between human. During the speech communication, the signals contains some noise so when processing the digital speech signals; speech signal enhancement is very important step. The field speech processing is an applied area of signal processing. The motive of speech enhancement is to enhance the understandability and comprehensibility of speech signal. There are numbers of techniques proposed using which speech signal enhancement is performed. The objective of this paper is to provide an overview of speech enhancement algorithms which are used for enhancement of speech signal.

References
  1. Sunita Dixit, Dr. MD Yusuf Mulge, "Review on Speech Enhancement Techniques", International Journal of Computer Science and Mobile Computing, IJCSMC, Vol. 3, Issue. 8, August 2014, pg.285 – 290.
  2. Chanchal Pandey, Sandeep Nemad, "Distinctive Methods for Speech Enhancement using Kalman Filtering", International Journal of Computer Applications (0975 – 8887)Volume 105 – No. 5, November 2014.
  3. P. Bravin Jose, Mrs. M. Jayasanthi, "Review on Speech Enhancement Techniques", KARPAGAM JOURNAL OF ENGINEERING RESEARCH (KJER), Volume No.: 01, Issue No.: 01. 2014.
  4. Vyankatesh Chapke, Prof. Harjeet Kaur, "Review of Speech Enhancement Techniques using Statistical Approach", International Journal of Electronics Communication and Computer Engineering, Volume 5, Issue (4) July, Technovision-2014, ISSN 2249–071X
  5. Ganga Prasad, Surender “A Review of Different Approaches of Spectral Subtraction Algorithms for Speech Enhancement” Department of Electronics, Madhav Institute of Technology & Science Gwalior, M.P. – 474005.
  6. Chaudhari, Amol, and S. B. Dhonde. "A review on speech enhancement techniques." Pervasive Computing (ICPC), 2015 International Conference on. IEEE, 2015.
  7. Pankaj Bactor, Anil Garg, "Different Techniques for the Enhancement of the Intelligibility of a Speech Signal", International Journal of Engineering Research and Development, Volume 2, Issue 2 (July 2012), PP. 57-64.
  8. Yariv Ephraim, Hanoch Lev-Ari and William J.J. Roberts “A Brief Survey of Speech Enhancement” IEEE Sig. Proc. Let., vol. 10,pp. 104-106, April 2003 s.
  9. Lu-ying SUI, Xiong-wei ZHANG, Jian-jun HUANG, Bin ZHOU “An Improved Spectral Subtraction Speech Enhancement Algorithm under Non-stationary Noise” Institute of Command Automation, PLAUST Nanjing, China,IEEE,2011.
  10. Reddy, D.R, “Speech recognition by machine: A review”, Proceedings of IEEE (Volume: 64, Issue: 4) ISSN: 0018-9219.
  11. Young, S.J, “Robust continuous speech recognition using parallel model”, IEEE Transactions on Speech and Audio Processing (Volume: 4, Issue: 5).
  12. Savita Hooda and Smriti Aggarwal Maharishi Markandeshwar University, Mullana (Ambala), INDIA.
  13. JOSEPH W. PICONE, SENIOR MEMBER, "Signal Modeling Techniques in Speech Recognition", PROCEEDINGS OF THE IEEE, VOL. 81, NO. 9, SEF’TEMBER 1993.
  14. Yoon. B-Y.; Tashev, I. & Acero, A. (2007) Robust Adaptive Beamforming Algorithm Using Instantaneous Direction Of Arrival With Enhanced Noise Suppression Capability. IEEE International Conference on Acoustics, Speech and Signal Processing 1:I-133–I- 136.
  15. Nandini Garg, Jyoti Gupta, "Review on Speech Enhancement using Signal Subspace method", International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 2, Issue 5, May 2013.
  16. Barry Commins “Signal Subspace Speech Enhancement with Adaptive Noise Estimation” National University of Ireland, Galway, September 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Speech Signal Enhancement Speech Degradation Speech Communication Filtering Techniques Speech Signal processing.