Music Genre Classification - Preparing the Dataset

Music Genre Classification - Preparing the Dataset

Learn to preprocess an audio dataset for music genre classification in this 38-minute tutorial. Implement code to batch process the Marsyas music dataset, extracting MFCCs and genre labels. Save the data in a JSON file format optimized for classifier training. Access the provided GitHub repository for the complete code and find the Marsyas genre dataset on Kaggle. Explore topics including dataset introduction, preprocessor setup, dictionary creation, file path handling, semantic label management, audio file loading, sample segmentation, and MFCC vector calculation. Conclude with a demonstration of the preprocessing results and gain practical insights into preparing audio data for machine learning applications.