Distinctive Methods for Speech Enhancement using Kalman Filtering
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10.5120/18370-9511 |
Chanchal Pandey and Sandeep Nemad. Article: Distinctive Methods for Speech Enhancement using Kalman Filtering. International Journal of Computer Applications 105(5):1-5, November 2014. Full text available. BibTeX
@article{key:article,
author = {Chanchal Pandey and Sandeep Nemad},
title = {Article: Distinctive Methods for Speech Enhancement using Kalman Filtering},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {105},
number = {5},
pages = {1-5},
month = {November},
note = {Full text available}
}
Abstract
In speech communication systems, it is mandatory to have noise free speech signal with high quality and clarity to obtain high performance. In real world it is very complicated to stockpile noise free speech signal all time for the speech communication system. It is found that speech signals get affected by background noise and tamper the system accuracy. It is very important to filter out the background noise form speech signal to enhance the performance of communication systems, it is also important to enhance the robustness of the speech code and also to enhance the listening ability. To filter out the background noise from the desired speech signal several speech filtering algorithms has been introduces in last few years. In this paper different speech enhancement systems have been examined and a Nobel method which is Second Ordered Fast Adaptive Extended Kalman Filter for speech enhancement has been proposed.
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