Building a fitness function for automated classical melody evaluation

Author

CORONEL ANDREI

Date of Award

2014

Document Type

Thesis

Degree Name

Doctor of Philosophy in Computer Science

Department

Information Systems & Computer Science

Abstract

Algorithmic Composition for music is a progressive field of study. The success of automated music-generation, however, depends heavily on the fitness function that is used to evaluate the generated music. Artificial intelligence in this context can use a

Comments

The C7.C66 2014

Recommended Citation

ANDREI, CORONEL, (2014). Building a fitness function for automated classical melody evaluation. Archīum.ATENEO.
https://archium.ateneo.edu/theses-dissertations/267