Noise Reduction Methodology for Audio and Speech Signal

Authors(4) :-M. Nishanthi, M. Subha, B. Subetha, G. Bharatha Sreeja

The speech signal is plays an important role in multimedia system. In this paper, Main objective is to reduce noise from audio signal which is heavily dependent on the specific context and application. Noise acts as the disturbance in any form of communication which degrades the quality of the information signal . Noise reduction is the process of removing background noise from speech signal. Many methods have been widely used to eliminate noise from speech signal like thresholding , discrete wavelet transform. The audio signal corrupted with white Gaussian noise which is especially hard to remove because it is located in all frequency, where Gaussion noise is inserted into an audio signal, this noise is used at different SNR levels .Discrete Wavelet technique is effectively reduces the unwanted higher or lower order frequency components in a speech signal. Soft and hard thresholding are used for denoising the signal. Soft thresholding method performs better than hard thresholding at all input SNR levels. The different wavelet types such as coiflet, daubechies, symlet are used to measure the performance. Wavelet are localized both in time and frequency. It is implemented by using different parameters such as SNR, Elapsed time.

Authors and Affiliations

M. Nishanthi
Department of Electronics and Communication Engineering, PET Engineering College, Vallioor, Tamil Nadu, India
M. Subha
Department of Electronics and Communication Engineering, PET Engineering College, Vallioor, Tamil Nadu, India
B. Subetha
Department of Electronics and Communication Engineering, PET Engineering College, Vallioor, Tamil Nadu, India
G. Bharatha Sreeja
Department of Electronics and Communication Engineering, PET Engineering College, Vallioor, Tamil Nadu, India

Discrete wavelet transform , hard thresholding , soft thresholding , signal to noise ratio, audio denoising, Gaussian noise.

  1. Rajeev Aggarwal ,Sehore M.P, Jai Karan Singh, Mukesh Tiwari ,Vijay Kumar Gupta ,Ghaziabad U.P. Anubhuti Khare ‘’ Noise Reduction of Speech Signal using Wavelet Transform with Modified Universal Threshold’’ International Journal of Computer Applications (0975 – 8887) Volume 20– No.5, April 2011.
  2. Shajeesh K.U, Amrita Vishwa Vidyapeetham, Ettimadai, K. P. Soman ‘’Noise Cancellation Method for Robust Speech Recognition’’ International Journal of Computer Applications (0975 – 8887) Volume 45– No.11, May 2012 .
  3. Nishan Singh1, Dr. Vijay Laxmi2 , Talwandi Sabo, Bathinda ‘’ Audio Noise Reduction from Audio Signals and Speech Signals’’ International Journal of Computer Science Trends and Technology (IJCST) – Volume 2 Issue 5, ISSN: 2347-8578 ,Sep-Oct 2014
  4. Manjeet Singh, Er.Naresh Kumar Garg ‘’audio noise reduction using wavelet types with thresholding techniques’’ International Journal of Engineering Science, Issue December 2014, Vol. 3 ISSN:2320-0332 December 2014.
  5. Srashti, Chourasiya “Audio Noise Removal – Literature review” JETIR1509001 Journal of Emerging Technologies and Innovative Research(JETIR, Volume 2, Issue 9 JETIR (ISSN-2349-5162) , September 2015.
  6. I Jashanpreet Kaur, Seema, Sunil Kumar , Yadavindra “Audio Noise Reduction Using Discrete Wavelet Transform and Filters” International Journal of Advanced Research in Computer Science & Technology (IJARCST 2016) 165 Vol. 4, Issue 2 (Apr. - Jun. 2016) ISSN : 2347 - 8446 .  (Apr. - Jun. 2016)
  7. M.A.Josephine Sathya , Dr.S.P.Victor” Noise Reduction Techniques and Algorithms For Speech Signal Processing” International Journal of Scientific & Engineering Research, Volume 6, Issue ISSN 2229-5518  September -2015.
  8. Priyanka Khattar1 , Dr. Amrita Rai2 ,Mr. Subodh   “Audio De-noising using Wavelet Transform” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 07 | July-2016 .
  9. KamyaDubey,Vikas Gupta “A Review on Speech Denoising Using Wavelet Techniques” International Journal of Engineering Trends and Technology (IJETT) – Volume 4 Issue 9- ISSN: 2231-5381, - Sep 2013
  10. Neeraj Kumari1, Shelly Chugh, Lakshmikanth.S1, Natraj.K.R2 , Rekha.K.R3 “Reduction of noise from audio signals using wavelets’’ International journal for advance research in engineering and technology wings to your thought . Volume 3, ISSN 2320-6802  Issue VI, June 2015
  11. Lakshmikanth.S1, Natraj.K.R2 , Rekha.K.R3 “Noise Cancellation in Speech Signal Processing” International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 1, January 2014 .
  12. Manjeet Singh, Er.Naresh Kumar ‘’Audio Noise Reduction Using Butter Worth Filter’’  International Journal of Computer & Organization Trends – Volume 6  ISSN: 2249-2593  Number 1 – Mar 2014 .
  13. V.S.R Kumari1, Dileep Kumar  ‘’ Wavelet Based Denoising of Speech Signal’’  International Journal of Engineering Trends and Technology (IJETT) – Volume 5  ISSN: 2231-5381  number 2 - Nov 2013

Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 604-607
Manuscript Number : CSEIT1722202
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

M. Nishanthi, M. Subha, B. Subetha, G. Bharatha Sreeja, "Noise Reduction Methodology for Audio and Speech Signal", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.604-607, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722202

Article Preview

Follow Us

Contact Us