This academic article by Geoff Luck reviews how artificial intelligence (AI) has been used to understand and estimate musical tempo. The author highlights the importance of tempo in expressing emotions, suggesting musical styles, influencing perception, and triggering movement. The paper discusses traditional tempo estimation methods and how AI-based methods, such as convolutional or recurrent neural networks, have led to significant improvements in accuracy. It provides an overview of common AI-based tempo estimation algorithms and discusses their benefits and drawbacks. The paper also considers the limitations of AI in this field and its ability to account for idiosyncrasies in tempo perception.
Publication date: 4 Jan 2024
Project Page: Not Provided
Paper: https://arxiv.org/pdf/2401.00209
