| Title |
Modified adaptive filtering algorithm for noise cancellation in speech signals / |
| Another Title |
Modifikuotas adaptyvus filtravimo algoritmas triukšmams iš kalbos signalų pašalinti. |
| Authors |
Vijaykumar, V.R ; Vanathi, P.T ; Kanagasapabathy, P |
| Full Text |
|
| Is Part of |
Elektronika ir elektrotechnika.. Kaunas : Technologija. 2007, Nr. 2, p. 17-20.. ISSN 1392-1215. eISSN 2029-5731 |
| Keywords [eng] |
electronic noise ; adaptive signal processing ; algorithms ; filters and filtration ; speech processing systems |
| Abstract [eng] |
Adaptive filtering techniques are one of the important techniques used for noise cancellation in speech and biomedical signals. The Least Mean Squares (LMS) algorithm is one of the widely used algorithms in many adaptive signal processing environments. The adaptive filtering algorithm with averaging (AFA) algorithm is an improvement over the widely used Least Mean Squares (LMS) algorithm and has an improved performance. In this paper, we propose a modification in the AFA algorithm with improved performance for speech signal processing. The proposed modification was implemented in Matlab and was tested for noise cancellation in speech signals. The simulation results showed that modification has improved performance in terms of signal-to-noise ratio compared to the original adaptive filtering algorithm. |
| Published |
Kaunas : Technologija |
| Type |
Journal article |
| Language |
English |
| Publication date |
2007 |
| CC license |
|
