Up

DETECTION AND LOCALIZATION OF SOUND USING ADAPTIVE LEARNING TECHNIQUE

File Size:
1.22 MB
Volume:
Volume 2, Issue 6 (June, 2016)
Publication No:
IJTC201606002
Author:
Anil Kumar, Dr. Manish Mann
Downloads:
6 x

Abstract:
In the field of artificial intelligence, Adaptive Learning Technique refers to the combination of artificial neural networks. In this research paper the Adaptive Learning Technique has been implemented to carry out the Detection and Localization of Sound (S).  In this technique two methods are used to detect the pure sound, In the first method wiener filter are used to reduce the amount of noise in a signal and minimize the mean square error (M.S.E), And in the second method wiener with bacterial foraging optimization are used for effectiveness in sound. These proposed methods are compared and the results reveal its superiority.

Keywords:
Adaptive Learning Technique, Detection and Localization of Sound, Wiener filter, Wiener with Bacterial Foraging optimization, SNR, MSE.

Tags Associated: