Noisefilter.pdf

% Read the speech file that contain the noise [x, fs]= audioread('sound.mp3'); len=length(x); % Apply simple averaging which help to reduce the intensity of the high frequency % noise if contains for i=1:2 for j=2:len-1 x(j,i) = (x(j-1,i) + x(j,i) + x(j+1,i))/3 ; end end % Creating Gaussian window of size 20 g = gausswin(20); % Apply convolution using Gaussian filter g = g/sum(g); y= conv(x(:,1), g, 'same'); % Apply signal smoothing using Savitzky-Golay smoothing filter. result=sgolayfilt(y,1,17); % resultant signal can be write to the new file audiowrite('result.wav',result,fs); % plot the resultant and original signal plot(x);title('original'); figure; plot(result); title('resultant signal');