LAMA: World Music Genre Dataset

LAMA : A World Music Genre Dataset LAMA - LatinAmerica, Asia, MiddleEastern, Africa Genre Dataset This Dataset consists of the .wav files and Waveform, FFT, STFT, MFCC graph plots of YouTube videos classified into four categories: Latin America, Asia, Middle Eastern, and Africa (LAMA). I hope that this work can help in several Deep Learning, Machine Learning projects in *Music Genre Classification*. Check GitHub Repo https://github.com/brucewlee/LAMA-Music-Genre-Dataset. Anyone is free to use/change/contribute to this Dataset. Please cite Bruce W. Lee and this Repo if you use this Dataset in your research/projects. Getting Started The data contained in LAMA can be classified into three categories: .wav files (Data_Original, Data_Cropped) Waveform, FFT, STFT, MFCC graph plots (Graphs, Sample_Graphs) mfcc training data (training_data.json) Statistics Data_Original : 113 (Africa), 83 (Asia), 90 (LatinAmerica), 80 (MiddleEast) Data_Cropped (1 min clips of original) : 108 (Africa), 77 (Asia), 87 (LatinAmerica), 77 (MiddleEast) Graphs -> FFT : 108 (Africa), 77 (Asia), 87 (LatinAmerica), 77 (MiddleEast)