ETD

Digital archive of theses discussed at the University of Pisa

 

Tesi etd-04162021-135903


Thesis type
Tesi di laurea magistrale
Author
BERTI, STEFANO
URN
etd-04162021-135903
Thesis title
A new MusAE: Adversarial Transformer Autoencoder for Music
Department
INFORMATICA
Course of study
INFORMATICA
Supervisors
relatore Prof. Bacciu, Davide
correlatore Dott. Valenti, Andrea
Keywords
  • midi
  • music
  • adversarial autoencoder
  • autoencoder
  • transformer
  • gan
  • wgan-gp
Graduation session start date
07/05/2021;
Consultabilità
Parziale
Release date
07/05/2024
Summary
File