Graduation Year
2024
Document Type
Open Access Senior Thesis
Degree Name
Bachelor of Arts
Department
Mathematics
Reader 1
Dr. Ghassan Sarkis
Rights Information
© 2024 Harry R Berman
Abstract
In this paper, we aim to harness a machine learning model called Genera- tive Adversarial Networks (GAN) in order to produce AI generated musical strands. The “Generative” part of the model’s name implies that its goal is to create something – music in the case of this paper – and the “Adversarial Networks” refer to the fact that there are two neural networks that learn from each other. One network attempts to trick the other one by creating music that it believes sounds real while the other tries to discern the real from the fake music. After training for long enough, the GAN will ideally produce music that sounds real.
Recommended Citation
Berman, Harry, "Generative Adversarial Networks for Music Generation" (2024). Pomona Senior Theses. 329.
https://scholarship.claremont.edu/pomona_theses/329
