Analytical model for adaptive noise cancellation in a speech signal

Authors:
M. Arif
Affiliations:
Department of Electronics & Communication Engineering, National Institute of Technology Kurukshetra, Haryana, India
Venue:
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2008

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IEEE Transactions on Signal Processing

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Abstract

In this paper, I have presented an analytical modeling for adaptive noise cancellation in a speech signal which is contaminated by a noise or interference signal. I have derived a mathematical modeling for the elimination of noise signal which is present in the speech signal. I has been taken a noise signal as a reference input and another input which is a speech signal that is contaminated by noise signal. The reference noise signal is adaptively controlled by changing the weights of the adaptive filter if needed, to match with the noise component of the speech signal to nullify the effect of it which is present in the speech signal. After that, the clear speech signal will be listen at the output by the listener.