Music Classification

Music classification, the task of automatically categorizing music into genres, subgenres, or eras, aims to improve music information retrieval and enhance user experiences in applications like music recommendation and playlist generation. Current research focuses on developing robust models, often employing deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, and exploring diverse audio representations beyond traditional spectrograms, including those informed by generative models and incorporating multimodal data like lyrics or artist information. These advancements are significant for both the scientific community, pushing the boundaries of audio signal processing and machine learning, and for practical applications, leading to more effective and personalized music experiences.