To read an audio file or to make an audio file..
1. Attach ur hands free that comes with ur mobile that has microphone /headset with microphone to the computer
2.In windows 7, Go to Start->All Programs ->Accessories ->Sound Recorder
On the Floating window of sound recorder, Click on Start Recording
Now speak to the microphone ..Once done click on STOP recording and save the audio file in D: drive as lp.wma
%To read an audio file to matlab use audioread as shown below
y = audioread('d:/lp.wma');
%To remove background noise, use adaptive filter
n=1:length(y);
mtlb_noisy = y;
noise = n;
% Define Adaptive Filter Parameters
filterLength = 32;
weights = zeros(1,filterLength);
step_size = 0.004;
% Initialize Filter's Operational inputs
output = zeros(1,length(mtlb_noisy));
err = zeros(1,length(mtlb_noisy));
input = zeros(1,filterLength);
% For Loop to run through the data and filter out noise
for n = 1: length(mtlb_noisy),
%Get input vector to filter
for k= 1:filterLength
if ((n-k)>0)
input(k) = noise(n-k+1);
end
end
output(n) = weights * input'; %Output of Adaptive Filter
err(n) = mtlb_noisy(n) - output(n); %Error Computation
weights = weights + step_size * err(n) * input; %Weights Updating
end
yClean = err;
% to save the output to D drive and with name re.mp4
audiowrite('d:/re.mp4',output,44100);
1. Attach ur hands free that comes with ur mobile that has microphone /headset with microphone to the computer
2.In windows 7, Go to Start->All Programs ->Accessories ->Sound Recorder
On the Floating window of sound recorder, Click on Start Recording
Now speak to the microphone ..Once done click on STOP recording and save the audio file in D: drive as lp.wma
%To read an audio file to matlab use audioread as shown below
y = audioread('d:/lp.wma');
%To remove background noise, use adaptive filter
n=1:length(y);
mtlb_noisy = y;
noise = n;
% Define Adaptive Filter Parameters
filterLength = 32;
weights = zeros(1,filterLength);
step_size = 0.004;
% Initialize Filter's Operational inputs
output = zeros(1,length(mtlb_noisy));
err = zeros(1,length(mtlb_noisy));
input = zeros(1,filterLength);
% For Loop to run through the data and filter out noise
for n = 1: length(mtlb_noisy),
%Get input vector to filter
for k= 1:filterLength
if ((n-k)>0)
input(k) = noise(n-k+1);
end
end
output(n) = weights * input'; %Output of Adaptive Filter
err(n) = mtlb_noisy(n) - output(n); %Error Computation
weights = weights + step_size * err(n) * input; %Weights Updating
end
yClean = err;
% to save the output to D drive and with name re.mp4
audiowrite('d:/re.mp4',output,44100);
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