Genre Classification Of Songs Using Machine Learning And Deep Learning

Project Synopsis & Overview

This project develops an automated music genre classification system using machine learning and deep learning techniques. It extracts acoustic features from audio signals using digital signal processing and analyzes the GTZAN dataset containing ten music genres. Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Convolutional Neural Networks (CNN) are implemented and evaluated to identify effective classification models and improve automated music categorization.

Complete Technical Specifications