Integrating Western and Indian Music for Genre Recognition: A Deep Learning Approach

Music genre recognition (MGR) is crucial for user preference and exploration and is often prioritised over other recommendation systems. Unlike previous studies that predominantly focused on Western or Indian music datasets, our paper addresses this notable gap in existing research by proposing a novel music genre classification methodology that uniquely integrates both Western and Indian music datasets. Our methodology, employing Convolutional Neural Network (CNN) and Mel-Spectrogram, achieves notable training accuracy and showcases promising results in automated music genre classification.