Differentiate Music Genre from an Audio File Using CNN

The complexity of music production has gradually decreased recently, causing a big number of individuals to produce music as a result and submitting it to streaming media. Because there are so many music streaming services, people are putting in a lot of effort looking for certain songs. The result says, it's critical to be able to swiftly classify musical genres in today's culture. As deep learning and machine learning technologies progress, Convolutional Neural Networks (CNN) are indeed being applied in a number of disciplines, and new CNN-based versions have appeared one after the other. Manually extracting features from time-series data is required for traditional music genre classification. Applying deep learning to time-series data has proven to be useful and efficient. To save time for the user when looking for different styles of genres. Librosa is used to convert into a corresponding Mel spectrum. Converted Mel send to a CNN model for training.