Voiced vs. Unvoiced Detection: New in Wolfram Language 11

Voiced vs. Unvoiced Detection

Detect unvoiced segments and attenuate them.

In[1]:=

a = ExampleData[{"Audio", "NoisyTalk"}, "Audio"]

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Use AudioIntervals to look for segments with low RMS amplitude and high spectral flatness.

In[2]:=

nonVoicedIntervals = 
 AudioIntervals[
  a, #RMSAmplitude < .02 && #SpectralFlatness > .0001 &, .1, 
  PartitionGranularity -> {.06, .01}]

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Visualize the detected intervals.

In[3]:=

AudioPlot[a, 
 Epilog -> {RGBColor[1, 0, 0, .3], 
   Rectangle[{#[[1]], -1}, {#[[2]], 1}] & /@ nonVoicedIntervals}, 
 ImageSize -> Medium]

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Attenuate the detected intervals.

In[4]:=

AudioJoin[
 Riffle[AudioFade /@ AudioTrim[a, Except@nonVoicedIntervals], 
  0.3*AudioTrim[a, nonVoicedIntervals]]]

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