How to extract feature from audio signal

Question

EUNSEOB KIM 2019-11-8

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/490051-how-to-extract-feature-from-audio-signal

回答： Jyotish Kumar 2019-11-13

采纳的回答： Jyotish Kumar

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I'm trying to extract normal state(without equipment moving state) sound from mixed audio signal.

As you see in this picture, I want to extract marked signal(with red box) from mixed audio signal.

How can I extract certain signal?

%% Loading Original Wav Data from folder
Wav_files = dir(fullfile('C:\Users\Administrator\Desktop\Machine_Learning\Eunseob\data_set(single_axis_movement)\all\*.wav'));
for k=1:numel(Wav_files) % number of wave files in the given folder
    info{k} = audioinfo(Wav_files(k).name);
    [y{k}, Fs{k}] = audioread(Wav_files(k).name); % save each wave files as an data y{k}
    Y{k} = fft(y{1, k}); % Fast fourier transform of each data in the y{k} and save each transformation in the Y{1, k}
%     y{k} = y{k}/norm(y{k}); % Normalization of each audio data
    sizes{k} = size(y{k}, 1); % Find size of each audio data
    minValue = min(cell2mat(sizes)); % Find minimum size of audio data
end
%% Mixing all audio data
base = zeros(minValue, 1)
for i = 1:numel(Wav_files)
UnifiedAudio{i} = y{1, i}(1:minValue, :) % Unifying length of audio data(crop to minimum size)
MixedUnifiedAudio = base+UnifiedAudio{i};
end

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Answer 1

Jyotish Kumar 2019-11-13

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链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/490051-how-to-extract-feature-from-audio-signal#answer_401252

Hi,

Step 1: analyze the signal and see if you can determine what frequencies are to be kept and what frequencies are to be discarded. FFTs as well as possibly short-time Fourier transforms will be helpful here.

step 2: design a filter. start with a first order Butterworth lowpass filter, with a cutoff frequency that is between the frequency you think should be kept and the frequency you think should be discarded.

step 3: analyze the filtered signal the same way you analyzed the original signal to see what changed. Also play it back to hear the difference.

step 4: try some other types of filters to see if you can get something better than a 1st order Butterworth. e.g. try higher orders, different cutoff frequencies, and different filter types.

For more information, refer these links.

https://www.mathworks.com/help/dsp/examples/designing-low-pass-fir-filters.html

https://www.mathworks.com/matlabcentral/answers/311665-question-on-designing-a-filter-to-remove-noise-from-a-audio-signal