Music-Classifier
Réalisé par : Iliass Belqadi et Meryeme Errekik
Encadré par : Mahmoudi Abdelhak
Python files (*.py) :
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ConvertToWav.py : To convert "au" files to "wav" for analysis
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CreateDataset.py : Extracting different features by hand
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Pure_mfcc_features.py : Extracting only mfcc featrues
Data :
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Data_set.csv : The hand crafted features from CreateDataset.py
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labels2.npy and mfccdata2.npy : The labels and the mfcc features saved in a numpy array
Classifier :
- music_classifer (1).ipynb : notebook for different classifiers(Random Forset Classifier, Support Vector Classifer, KNN Classifer, Traditionnal neural network, CNN)
Research papers :