Язык Wolfram Language

Вычислительное аудио

Определим звуковую сигнатуру аудио на базе спектральной плотности MFCC (Mel Frequency Cepstral Coefficients)

Воспользуемся коэффициентом MFCC, чтобы построить матрицу из значений расстояния от звукового сигнала.

In[1]:=
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a = Audio["http://exampledata.wolfram.com/bach.mp3"]
In[2]:=
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Определим характеристики спектральной плотности MFCC.

In[3]:=
Click for copyable input
mfcc = AudioLocalMeasurements[AudioResample[a, 11025], "MFCC", PartitionGranularity -> {.5, .25}]["Values"];

Построим матрицу расстояний, вычисленных в предыдущем шаге.

In[4]:=
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MatrixPlot[DistanceMatrix[mfcc], DataRange -> {{0, QuantityMagnitude[Duration@a, "s"]}, {0, QuantityMagnitude[Duration@a, "s"]}}, PlotLabel -> "Distance Matrix", FrameTicks -> {Automatic, Automatic}]
In[5]:=
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ImageSizeRaw->{720, 731}, PlotRange->{{0, 720}, {0, 731}}]\)

Родственные примеры

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