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Given a .WAV file, this experiment extracts the melspectogram of the audio in order to classify the speaker within the sound. For classification, this experiment compares the performance of the ShallowNet and VGG16 frameworks

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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
DataLoader.py		DataLoader.py
ImageToArrayPreprocessor.py		ImageToArrayPreprocessor.py
README.md		README.md
ShallowNet.py		ShallowNet.py
SimplePreprocessor.py		SimplePreprocessor.py
Speaker Classification - Part 1.rar		Speaker Classification - Part 1.rar
main.py		main.py
vgg.py		vgg.py