Exploring AI Music Generation: A Review of Deep Learning Algorithms and Datasets for Undergraduate Researchers
摘要
This review paper presents an exploration of the deep learning-based music generation literature, designed to offer undergraduate researchers an initiation into the field. This study illustrates prevailing generative models and datasets currently influential in music generation. Four publications have been selected for detailed discussion, representing a spectrum of salient concepts in music generation and potential areas of further inquiry. By focusing on key studies and significant datasets, this review aspires to serve as a guide for undergraduate scholars keen on investigating the intersections of deep learning and music generation.