LAMA World Music Genre Dataset

LAMA World Music Genre Dataset LAMA - LatinAmerica, Asia, MiddleEastern, Africa Genre Dataset This Dataset consists of the .wav files of audio classified into four categories: LatinAmerica, Asia, MiddleEastern, and Africa. We went through Google AudioSet ontology and pickled the ones we double-chekched to be from the region. We added 1-min audio (.wav), plots (.png), and numerical datapoints for training (.json). I hope that this work can help in several Deep Learning, Machine Learning projects in Music Genre Classification. Getting Started The data contained in LAMA can be classified into three categories: ->>>Section Format LatinAmerica Asia MiddleEast Africa audio .wav 535 539 548 645 graph plots .png 2140 2156 2192 2580 numerical .json 101650 102410 104120 122550 Overall statistics of LAMA. The numbers in “audio” and “plots” rows are counts of the included files in each section. The numbers provided in the “numerical” row are counted based on the total number of raw datapoints. Datapoints from two related files (trainMFCC.json, trainSC.json) were counted. Datapoints from trainZCR.json, and trainRMSE.json were not counted in this figure. LatinA refers to Latin America, and MiddleE refers to Middle East. What's in? audio .wav -> 1 min clip audio files from Latin America, Africa, Asia, and Middle East graph plots .png -> MFCC, STFT, FFT, waveform numerical .json -> x13 MFCC datapoints, x6 spectral contrast datapoints