Resources

### Papers

1)
Automatic Musical Genre Classification Of Audio Signals
http://ismir2001.ismir.net/pdf/tzanetakis.pdf 

2) Feature Extraction for Musical Genre Classification (2015 ) with reference to 1 
http://hpac.rwth-aachen.de/teaching/sem-mus-15/reports/Merkelbach.pdf


3) SONG-LEVEL FEATURES AND SUPPORT VECTOR MACHINES FOR MUSIC CLASSIFICATION
https://www.ee.columbia.edu/~dpwe/pubs/ismir05-svm.pdf

4) Music Genre Classification
http://cs229.stanford.edu/proj2011/HaggbladeHongKao-MusicGenreClassification.pdf

### Libraries

python_speech_features
http://python-speech-features.readthedocs.io/en/latest/
https://github.com/jameslyons/python_speech_features


MFCC tutorial
http://webcache.googleusercontent.com/search?q=cache:BlLUHkdAU_IJ:practicalcryptography.com/miscellaneous/machine-learning/guide-mel-frequency-cepstral-coefficients-mfccs/+&cd=1&hl=en&ct=clnk&gl=in
http://www.practicalcryptography.com/miscellaneous/machine-learning/guide-mel-frequency-cepstral-coefficients-mfccs/


Reading the signal 
https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.io.wavfile.read.html

Hamming Window
https://docs.scipy.org/doc/numpy/reference/generated/numpy.hamming.html