A music genre is a conventional category that identifies pieces of music as belonging to a shared tradition or set of conventions. It is to be distinguished from musical form and musical style. The features extracted from these waves can help the machine distinguish between them.
The features in this dataset are extracted from the dataset provided here which consists of 1000 audio tracks each 30 seconds long. It contains 10 genres, each represented by 100 tracks. The tracks are all 22050Hz Mono 16-bit audio files in .wav format. The code used to extract features is at this GitHub repo. Features are extracted using libROSA library.
