Code covered by the BSD License
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Energy_Entropy_Block(f,winLen...
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ShortTimeEnergy(signal, windo...
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SpectralCentroid(signal,windo...
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SpectralEntropy(signal,window...
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SpectralFlux(signal,windowLen...
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SpectralRollOff(signal,window...
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computeAllStatistics(fileName...
This function computes the average and std values for the following audio
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computeFeaturesDirectory(clas...
% This function computes the audio features (6-D vector) for each .wav
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computeHistError(Data1, Data2...
define histogram beans
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myHist(Data)
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statistic(feature, Start, End...
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zcr(signal,windowLength, step...
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Some Basic Audio Features
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View all files
from
Some Basic Audio Features
by Theodoros Giannakopoulos
Use the provided m-files for computing the features of an audio classification problem
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| statistic(feature, Start, End, stat, x, win, step, thres)
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function S = statistic(feature, Start, End, stat, x, win, step, thres)
subFeature = feature(Start:End);
if (nargin>5)
x = x / max(abs(x));
E = ShortTimeEnergy(x, win, step);
T = thres * median(E);
L = min([length(E) length(subFeature)]);
E = E(1:L);
subFeature = subFeature(1:L);
subFeatureNew = subFeature(find(E>T));
subFeature = subFeatureNew;
end
switch stat
case 'maxbymean'
Max = max(subFeature);
Mean = mean(subFeature);
S = Max / Mean;
case 'maxbymedian'
Max = max(subFeature);
Median = median(subFeature);
S = Max / Median;
case 'stdbymean'
Std = std(subFeature);
Mean = mean(subFeature);
S = (Std^2) / (Mean^2);
case 'mean'
S = mean(subFeature);
case 'std'
S = std(subFeature);
case 'max'
S = max(subFeature);
case 'min'
S = min(subFeature);
case 'min1'
temp = sort(subFeature);
S = temp(2);
case 'min2'
temp = sort(subFeature);
S = temp(3);
case 'min3'
temp = sort(subFeature);
S = temp(4);
case 'min4'
temp = sort(subFeature);
S = temp(5);
case 'min0123'
temp = sort(subFeature);
S = mean(temp(1:4));
case 'median'
S = median(subFeature);
case 'a1'
S = length(find(subFeature>mean(subFeature)))/length(subFeature);
case 'a2'
S = length(find(subFeature<0.10*mean(subFeature)))/length(subFeature);
case 'a3'
S = mean(find(subFeature>0.000001));
case 'a4'
S = length(find(subFeature>5.0*mean(subFeature)))/length(subFeature);
case 'zcr1'
S = length(find(subFeature>0.4))/length(subFeature);
end
S(find(isinf(S)))=mean(S(find(~isinf(S))));
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