Rap Music

Rap music research currently explores the computational generation and analysis of rap lyrics and vocals. Studies utilize machine learning models, such as fine-tuned GPT-2 variants and Markov Chain Monte Carlo methods, to create rap music, focusing on mitigating profanity and incorporating elements of improvisation. Analysis focuses on quantifying vocal pitch variability over time and identifying trends in stylistic features. This research contributes to both music information retrieval and the broader field of computational creativity, offering insights into the stylistic characteristics of rap and advancing techniques in artificial intelligence for music generation.