Wavelet based speech enhancement technique using median function thresholding

Authors:
A. K. Sinha;Shikhar Kanti Dutta;Budhaditya Dev;Jaydipta Jaydipta;Ranjana Kumari
Affiliations:
National Institute of Technology, Silchar, India;NIT, Silchar;NIT, Silchar;NIT, Silchar;NIT, Silchar
Venue:
MATH'08 Proceedings of the American Conference on Applied Mathematics
Year:
2008

Citing 7
Cited 0

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Abstract

In modern day voice communication, reduction of noise is of great importance. The necessity of reduction of noise arises due to the interference of the external factors with the concerned signal. Hence to reduce the interference effects wavelet based time-frequency analysis of signals is performed. Time-frequency analysis is the process of determining what frequencies are present in a signal, how strong they are and how they change over time. Both Discrete Wavelet Transform (DWT) and Packet Wavelet Transform (PWT) are optimal methods for this purpose. In this work we use some real signals and process them with DWT and PWT.