Advancing Computational Musicology
What we do
The ACMus project explores the use of machine learning techniques for computational musicology, digital music archive management, and music information retrieval.
Two main elements are the core of our project:
- Emphasis on semi-supervised and unsupervised machine learning techniques that minimally rely on the availability of annotated data for a specific task.
- Traditional Colombian music from the Andes region as the main focus of our study.
If you wish to cite our project, please use this citation.
