Directed Theses
2023
Automatic score-to-score music generation.
Master in Sound and Music Computing, Universitat Pompeu Fabra, Barcelona. Grade: 8.0/10. Co-supervised with Pedro Ramoneda.
Automatic Music Composition in Symbolic Format with Deep Neural Networks.
Student: MarÃa Iriarte Bernal. Grado en IngenierÃa de Telecomunicaciones. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
Drums Generation with Transformer-based Models.
Student: Sergio Ferraz Laplana. Grado en IngenierÃa de Telecomunicaciones. Grade: 9.0/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
Detection of Boiling in Liquids on an Induction Hob using Acoustic Analysis and Artificial Intelligence.
Student: Carlota Laborda Basa. Grado en IngenierÃa de Telecomunicaciones. Grade: 8.0/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
2022
Music composition with transformer-based models.
Student: Sonia Rubio Llamas. Grado en IngenierÃa de Telecomunicaciones. Grade: 9.0/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
Harmonic analysis of MIDI files.
Student: Jorge Bajén. Grado en IngenierÃa de TecnologÃas Industriales. Grade: 8.5/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
Instruments classification with deep learning.
Student: Santiago Pallarés. Grado en IngenierÃa de Telecomunicaciones. Grade: 8.75/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
Source separation and music transcription with deep learning.
Student: Pablo Castillón Ruiz. Grado en IngenierÃa Electrónica. Grade: 8.5/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
Study of deep learning-based techniques for music composition.
Student: Jorge AbadÃas Puyuelo. Grado en IngenierÃa de TecnologÃas Industriales. Grade: 9.0/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
2021
Multitimbral transcription system based on deep neural networks.
Student: Carlos Hernández López. Grado en IngenierÃa Electrónica. Grade: 9.2/10 — Honorary Distinction. Co-director: José R. Beltrán Blázquez. University of Zaragoza.
Source separation and music transcription with deep learning.
Student: Ignacio Zay Pinilla. Grado en IngenierÃa de Telecomunicaciones. Grade: 8.5/10. Co-director: José R. Beltrán Blázquez. University of Zaragoza.