How can convert .wav file to .mat file ?

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fatimah
fatimah on 25 Nov 2011
Commented: sanjana on 9 Jan 2025
Hello, I am trying to covert .w to .mat file and I should to using it in my program Help me plezzzzzzz :(
  1 Comment
sanjana
sanjana on 9 Jan 2025
% Load the audio file
[input_audio_file, input_audio_path] = uigetfile({'*.wav', 'Audio Files (*.wav)'}, 'Select an Audio File');
if isequal(input_audio_file, 0)
disp('User canceled the file selection.');
return; % Exit if no file is selected
else
% Construct the full file path
full_audio_path = fullfile(input_audio_path, input_audio_file);
[primary, fs] = audioread(full_audio_path); % Read the audio file
disp(['Audio file ', input_audio_file, ' successfully loaded.']);
end
% Assuming 'reference' is another signal you have (you need to define it)
% For demonstration, let's create a dummy reference signal
reference = rand(size(primary)); % Replace this with your actual reference signal
% Parameters
primary_size = size(primary, 1); % Number of samples in primary signal
Epsilon = 0.0001;
AllData = zeros(1, 3);
order = 30; % Filter order
W_1 = zeros(order, 1);
W_2 = zeros(order, 1);
performance_curve1 = zeros(primary_size, 1);
performance_curve2 = zeros(primary_size, 1);
primary_wrt_filter = primary(order + 1:end); % Truncate primary
reference_wrt_filter = zeros((primary_size - order), order);
% Create reference_wrt_filter according to filter
for update = order:primary_size
reference_wrt_filter((update - order + 1), :) = reference(update - (1:order));
end
disp(size(reference_wrt_filter, 1));
% Learning rate
Nu = 0.05;
for iterateReference = 1:size(reference_wrt_filter, 1)
MSE = 0;
X = reference_wrt_filter(iterateReference, :);
% Calculate error for W_1
Error = primary_wrt_filter(iterateReference) - (reference_wrt_filter(iterateReference, :) * W_1);
Nu_by_Epsilon = Nu / (Epsilon + (X * X'));
W_1 = W_1 + (Nu_by_Epsilon * (Error * X)');
errorSquare = (primary_wrt_filter(1:iterateReference) - (reference_wrt_filter(1:iterateReference, :) * W_1)).^2;
MSE = sum(errorSquare) / iterateReference;
performance_curve1(iterateReference) = MSE;
% Calculate error for W_2
if iterateReference >= 46501
Error = primary_wrt_filter(iterateReference) - (reference_wrt_filter(iterateReference, :) * W_2);
W_2 = W_2 + (Nu_by_Epsilon * (Error * X)');
errorSquare1 = (primary_wrt_filter(46501:iterateReference) - (reference_wrt_filter(46501:iterateReference, :) * W_2)).^2;
MSE = sum(errorSquare1) / (iterateReference - 46500);
performance_curve2(iterateReference - 46500) = MSE;
end
end
% Output signals
Out = (primary_wrt_filter(1:46500) - (reference_wrt_filter(1:46500, :) * W_1));
Out1 = (primary_wrt_filter(46501:end) - (reference_wrt_filter(46501:end, :) * W_2));
Out3 = vertcat(Out, Out1);
% Calculate SNR
SNR_parameter = mean(primary_wrt_filter.^2) / mean(Out3.^2);
SNR_After = 10 * log10(SNR_parameter);
% Plotting results
figure;
plot(performance_curve1);
title('Learning Curve For Filter Order = 30 and Iteration < 46.5K');
xlabel('Iteration -->');
ylabel('MSE -->');
legend('Nu = 0.05');
figure;
plot(performance_curve2);
title('Learning Curve For Filter Order = 30 and Iteration > 46.5K');
xlabel('Iteration -->');
ylabel('MSE -->');
legend('Nu = 0.05 ');
figure;
plot(Out3);
title('Error Signal After Applying NLMS For Filter Order = 30');
xlabel('Iteration -->');
ylabel('Error (Desired Output Signal) -->');
legend('Nu = 0.05');
% Optionally play the output sound
soundsc(Out3, fs);

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Accepted Answer

Wayne King
Wayne King on 25 Nov 2011
Use wavread to read the file into MATLAB. Then, use save to save the file as a .mat file.
See the help for wavread and save
  6 Comments
fatimah
fatimah on 25 Nov 2011
my wave file is content mixed signal ..
can you help me to generate my denoising code
Wayne King
Wayne King on 25 Nov 2011
So it's just a Nx1 vector. Then just use wavelet 1-D. All noisy signals are "content-mixed signals". By the way, on any wavemenu subitem, you can always use Import from Workspace, you don't have to save the data as a .mat file.

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