gtzan-classification-experiments
ML-17 - University project - MLP, Convutional 2d Network
Dataset
dataset can be downloaded from http://marsyasweb.appspot.com/download/data_sets/. This dataset was used for the well known paper in genre classification " Musical genre classification of audio signals " by G. Tzanetakis and P. Cook in IEEE Transactions on Audio and Speech Processing 2002.
Unfortunately the database was collected gradually and very early on in my research so I have no titles (and obviously no copyright permission etc). The files were collected in 2000-2001 from a variety of sources including personal CDs, radio, microphone recordings, in order to represent a variety of recording conditions. Nevetheless I have been providing it to researchers upon request mainly for comparison purposes etc. Please contact George Tzanetakis (gtzan@cs.uvic.ca) if you intend to publish experimental results using this dataset.
The dataset consists of 1000 audio tracks each 30 seconds long. It contains 10 genres, each represented by 100 tracks.
To convert .au files to .wav use au_to_wav_converter.py
change export_dir and and import_dir to correct directories in the main function
to generate samples of different sizes, use purana-chop.py
change SAMPLE_SIZE and CHANNELS to get desired npz database of samples in the same directory.