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Merge pull request #214 from QutEcoacoustics/unsupervised-features-2
Unsupervised features 2
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# Summary: Generates Clustering Features | ||
# | ||
# This analysis outputs: | ||
# 1. an image of the clusters' centroids | ||
# 2. a csv file that contains the vectors of the clusters' centroids | ||
# 3. a csv file that contains clusters' id and size | ||
# 4. a csv file that contains feature vectors | ||
# | ||
# The feature vectors can be used in training the machine learning models. | ||
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# The directory for the output of parallel job running on MahnooshSandpit | ||
# OutputDirectory: "D:\Mahnoosh\Liz\ParallelJobs\" | ||
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# The properties to generate Mel scale | ||
FrequencyScaleType: Mel | ||
# HertzInterval: 1000 | ||
FrameSize: 1024 | ||
FinalBinCount: 128 | ||
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# The default values for minFreqBin and maxFreqBin are 1 and FinalBinCount | ||
# For any other arbitrary frequency bin bounds, these two parameters need to be manually set. | ||
MinFreqBin: 24 | ||
MaxFreqBin: 82 | ||
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# The number of frequency band for feature generation process | ||
numFreqBand: 1 | ||
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# The width and height of the patches to be taken from the patch sampling set | ||
# A default patch is a single full-band frame which patchWidth = (maxFreqBin - minFreqBin + 1) / numFreqBand, patchHeight = 1 | ||
# PatchWidth: 5 | ||
PatchHeight: 1 | ||
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# the number of frames that their feature vectors will be concatenated in order to preserve temporal information. | ||
FrameWindowLength : 1 | ||
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# the step size to make a window of frames | ||
StepSize : 1 | ||
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# The number of patches to be selected from each recording of the patch sampling set | ||
NumRandomPatches: 1000 | ||
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# the number of clusters to be generated from the selected patch set | ||
NumClusters: 256 | ||
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# Applying noise reduction and whitening if these options are set to 'true' | ||
DoNoiseReduction: true | ||
DoWhitening: true | ||
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# The factor of data downsampling using max pooling | ||
MaxPoolingFactor: 6 | ||
... | ||
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