Music-Genre-Classification

Music Genre Classification using AST(Audio Spectrogram Transformer) and MIDI format Classifier

MIDI format feature

Rhythmic Patterns Repeating patterns that define the rhythm of the piece Harmony & Chord Progressions Represents the sequences of the chords used in the MIDI file Tempo A critical feature for classification, distinguishing between different genres Pitch & Velocity Information about specific notes being played and corresponding loudness i.e how hard a note is played

Audio Spectrogram Model (AST)

Reference: https://github.com/YuanGongND/ast

Architecture Diagram

Dataset Used

GTZAN Dataset for Music Genre Classification Download link: https://www.kaggle.com/datasets/andradaolteanu/gtzan-dataset-music-genre-classification

MIDI Implementation

• Mention input directory path and output directory path
• Create a CSV file using the generated MIDI files
• Read the created CSV file to implement the
• Execute the classification code

AST Implementation

• Run the ast_gtzan_clf.ipynb
• Mention the file path of the test file from the GTZAN dataset