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:

1. Emphasis on semi-supervised and unsupervised machine learning techniques that minimally rely on the availability of annotated data for a specific task.
2. 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.