How can convert .wav file to .mat file ?

조회 수: 4 (최근 30일)
fatimah
fatimah 2011년 11월 25일
댓글: sanjana 2025년 1월 9일
Hello, I am trying to covert .w to .mat file and I should to using it in my program Help me plezzzzzzz :(
  댓글 수: 1
sanjana
sanjana 2025년 1월 9일
% 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);

댓글을 달려면 로그인하십시오.

채택된 답변

Wayne King
Wayne King 2011년 11월 25일
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
  댓글 수: 6
fatimah
fatimah 2011년 11월 25일
my wave file is content mixed signal ..
can you help me to generate my denoising code
Wayne King
Wayne King 2011년 11월 25일
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.

댓글을 달려면 로그인하십시오.

추가 답변 (0개)

카테고리

Help CenterFile Exchange에서 Audio I/O and Waveform Generation에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by