Audio Noise Reduction Using Butter Worth Filter
 |
International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2014 by IJCOT Journal | ||
| Volume - 4 Issue - 2 |
||
| Year of Publication : 2014 | ||
| Authors : Manjeet Singh , Er.Naresh Kumar Garg | ||
| DOI : 10.14445/22492593/IJCOT-V6P305 |
Citation
Manjeet Singh , Er.Naresh Kumar Garg. "Audio Noise Reduction Using Butter Worth Filter", International Journal of Computer & organization Trends (IJCOT), V4(2):20-23 Mar - Apr 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
Digital filters effectively reduce the unwanted higher or lower order frequency components in a speech signal. In this paper the speech enhancement is performed using different digital filters .In this real noisy environment is taken into consideration in the form of Gaussian noise. The Time domain as well as frequency domain representation of the signal spectra is performed using Fast Fourier transformation technique. MATLAB in built functions are used to carry out the simulation. Gaussian type noise is added using in-built function randn () and keyboard noise is added as a second speech file to the original speech signal. The filters remove the lower frequency components of noise and recover the original speech signal. It is also observed that keyboard noise is typical to remove as compared to Gaussian type but these filters performed well to get sharper spectra of original speech signal.
References
[1] Roshahliza M. Ramli, Ali O. Abid Noor, and Salina Abdul Samad “A Review of Adaptive Line Enhancers for Noise Cancellation” Australian Journal of Basic and Applied Sciences, 6(6): 337-352, 2012 ISSN 1991-8178.
[2] Eric Martin,” Audio denoising algorithm with block thresholding” Published in Image Processing On Line on YYYY {MM {DD.ISSN 2105-1232.
[3] B. JaiShankar1 and K. Duraiswamy “audio denoising using wavelet transform” International Journal of Advances in Engineering & Technology, Jan 2012. ISSN: 2231-1963
[4] C Mohan Rao1, Dr. B Stephen Charles “A Variation of LMS Algorithm for Noise Cancellation” International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 7, July 2013 ISSN (Print) : 2319-5940 .
[5] B. Jai Shankar, K.Duraiswamy “signal denoiser using wavelets and block matching process “Asian Journal of Computer Science and Information Technology2: 1 (2012) 1 – 3. ISSN 2249-5126.
[6] J. Jebastine , Dr. B. Sheela Rani “design and implementation of noise free Audio speech signal using fast block least Mean quare algorithm” Signal & Image Processing : An International Journal (SIPIJ) Vol.3, No.3, June 2012.
[7] Guoshen Yu, Stéphane Mallat “Audio Denoising by Time-Frequency Block Thresholding “IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 56, NO. 5, MAY 2008.
[8] Raghavendra Sharma, Vuppuluri Prem Pyara” A Robust Denoising Algorithm for Sounds of Musical Instruments Using Wavelet Packet Transform “Circuits and Systems, 2013, 4, 459-465 Published Online November 2013.
[9] Matheel E. Abdulmunim, Rabab F. Abass “ Novel Video Denoising Using 3-D Transformation Techniques “International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-2, Issue-5, June 2013 .
[10] K.P. OBULESU1 P. UDAY kumar “implementation of time frequency block thresholding algorithm in audio noise reduction “ISSN: 2278 – 7798 International Journal of Science, Engineering and Technology Research (IJSETR) Volume 2, Issue 7, July 2013 .
[11] S. N. Sampat1*, Dr. C. H. Vithalani” Customized Neighborhood Threshold Speech Denoising Using Wavelet Transform Based On Filter Bank Method “international journal of darshan institute on engineering research & emerging technologies vol. 2, no. 1, 2013 .
[12] Rajeev Aggarwal” 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.
Keywords
Butterworth filter; Gaussian noise; Impulsive keyboard noise; Speech enhancement.