Classifying Song Genres Using Machine Learning

The Automated Music Genre Classification project uses ML to enable efficient genre classification, replacing subjective human judgment with mathematical models based on signal processing, linear algebra, and probability theory. It combines numerical feature extraction and deep learning with self-attention mechanisms for enhanced accuracy and robustness. Built for research and commercial use, it plans real-time classification and a mobile app, highlighting the impact of mathematical principles in AI and music technology for solving complex classification challenges.

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