CASCADE COMBINATION OF WAVELET AND ADAPTIVE FILTER FOR NOISE CANCELLATION

Authors

  • Suman Mishra

DOI:

https://doi.org/10.29284/ijasis.2.2.2016.21-26

Keywords:

Wavelet Transform, Adaptive Filters, Noise Cancellation, Least Mean Square Adaptive Filter

Abstract

Speech enhancement techniques are very important in the field of signal processing for their numerous applications. They are employed in many contexts such as hands-free telephony, hearing aid systems, re-mastering of audio recordings, preprocessing for speech recognition interfaces, etc. In this paper, an efficient cascade combination approach for cancellation of noises in speech signals is discussed. It is possible to obtain higher performance by cascading two or more algorithms. A better noise removal approach is presented by cascading wavelet and adaptive filters. Results show that the cascade approach gives high Peak Signal to Noise Ratio (PSNR) and low Root Mean Square Error (RMSE) than individual performances of wavelet and an adaptive filter. 

Downloads

Download data is not yet available.

References

A. Hussain, K. Chellappan, and M.S. Zamratol, Speech enhancement using degenerate unmixing estimation technique and adaptive noise cancellation technique as a post signal processing, IEEE EMBS Conference on Biomedical Engineering and Sciences, 2016, pp. 280-285.

X. Wang, J. Benesty, and J. Chen, A single-channel noise cancelation filter in the short-time-fourier-transform domain, IEEE International Conference on Acoustics, Speech and Signal Processing, 2016, pp. 5235-5239.

M. Bari, and M.M. Dewasthale, Performance comparison of LMS algorithms for acoustic noise cancellation, IEEE Conference on Advances in Signal Processing, 2016, pp. 139-143.

R. Ram, S. Panda, H.K. Palo, and M.N. Mohanty, Impulsive noise cancellation for speech enhancement using state space adaptive algorithm, IEEE International Conference on Signal Processing, Communication, Power and Embedded System, 2016, pp. 1393-1396.

A. Kumar, P. Goel, V.K. Gupta, and M. Chandra, Comparative research of various adaptive algorithms for noise cancellation in speech signals, IEEE International Conference on Control, Computing, Communication and Materials, 2016, pp. 1-5.

V. Anoop, and P.V. Rao, Adaptive noise cancellation in speech signals using optimization algorithms, IEEE International Conference on Communication and Signal Processing, 2016, pp. 0027-0031.

A.N. Untwale, and K.S. Degaonkar, Survey on noise cancellation techniques of speech signal by adaptive filtering, IEEE International Conference on Pervasive Computing, 2015, pp. 1-4.

K.L. Sudha, Performance analysis of New Time Varying LMS adaptive filtering algorithm in noise cancellation system for speech enhancement, IEEE Fourth World Congress on Information and Communication Technologies, 2014, pp. 224-228.

S.A. Hosseini, and S.A. Hadei, A novel noise cancellation method for speech enhancement using variable step-size adaptive algorithm, IEEE 9th International Symposium on Communication Systems, Networks & Digital Signal Processing, 2014, pp. 249-254.

N. Sonbolestan, and S.A. Hadei, A fast affine projection algorithm based on matching pursuit in adaptive noise cancellation for speech enhancement, IEEE International Conference on Intelligent Systems, Modelling and Simulation, 2010, pp. 193-198.

Downloads

Published

2016-12-30

How to Cite

Suman Mishra. (2016). CASCADE COMBINATION OF WAVELET AND ADAPTIVE FILTER FOR NOISE CANCELLATION . INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 2(2), 21–26. https://doi.org/10.29284/ijasis.2.2.2016.21-26

Issue

Section

Articles