Music Informatics Research Accepted to International Workshop

Harvey Mudd College senior Mazda Moayeri co-authored a research paper on music informatics that was accepted to the 12th International Workshop on Machine Learning and Music held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases in Wurzburg, Germany Sept. 16.

A joint major in computer science and mathematics, Moayeri conducted research on machine learning and music, a burgeoning interdisciplinary field that encompasses data-driven approaches to the production, analysis and retrieval of music. His paper, "Neural Symbolic Music Genre Transfer Insights," was presented by his supervisor and mentor Gino Brunner, as Moayeri wasn't able to attend the workshop. The paper was among many given by scholars on applications to music and machine learning. Accepted papers are published by Springer Verlag under their Lecture Notes in Computer Science series.