About me
I am interested in all of the ways in which modern technologies can help us to learn, understand, create, and enjoy music.
Interests
- Computational Music Theory
- Music Information Retrieval
- Deep Learning
- Music gamification
Education
PhD in Music Technology, 2022
McGill University, Montréal
MSc in Sound and Music Computing, 2017
Universitat Pompeu Fabra, Barcelona
Licenciatura en Informática, 2013
Universidad de Guadalajara, México
Peer-reviewed publications
(2021).
AugmentedNet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks.
In ISMIR 2021.
(2020).
Data Quality Matters: Iterative Corrections on a Corpus of Mendelssohn String Quartets and Implications for MIR Analysis.
In ISMIR 2020.
(2020).
On Local Keys, Modulations, and Tonicizations.
In DLFM 2020.
(2020).
Harmalysis: A Language for the Annotation of Roman Numerals in Symbolic Music Representations.
In MEC.
(2019).
Key-Finding Based on a Hidden Markov Model and Key Profiles.
In DLFM 2019.
Other publications
(2021).
AugmentedNet: A Convolutional Recurrent Neural Network for Automatic Roman Numeral Analysis with Improved Data Augmentation.
In MML 2021.
(2020).
Harmonic Reductions As a Strategy for Creative Data Augmentation.
In ISMIR 2020.
(2020).
Do-Re-Myth: An Ear Training Game.
In COBS.
(2019).
The Effects of Translation Between Symbolic Music Formats: A Case Study with Humdrum, Lilypond, MEI, and MusicXML.
In MEC.
(2019).
Musical Tic-Tac-Toe.
In LMusTP 2019.
(2019).
Dandelot - Reading Music as a Game.
In LMUSTP 2019.