Néstor Nápoles López

PhD Candidate in Music Technology

Symbolic and Audio Musical Key Estimation

I am a PhD candidate in Music Technology at McGill University. I am working under the supervision of professor Ichiro Fujinaga. Before attending McGill, I graduated from an MSc in Sound and Music Computing from Universitat Pompeu Fabra. There, my research focused on the automatic analysis of functional harmony. Here in McGill, my research interests have extended to Music Information Retrieval (MIR) in the context of tonal music and tonal features (e.g., musical keys and harmony). I am also interested in serious music-based computer games, and Optical Music Recognition (OMR).

Publications:

  • Nápoles López, Néstor, Claire Arthur, and Ichiro Fujinaga. 2019. “Key-Finding Based on a Hidden Markov Model and Key Profiles.” In Proceedings of the 6th International Conference on Digital Libraries for Musicology. DLfM ’19. New York, NY, USA: ACM.

  • Nápoles López, Néstor, Gabriel Vigliensoni, and Ichiro Fujinaga. 2018. “Encoding Matters.” In Proceedings of the 5th International Conference on Digital Libraries for Musicology, 69–73. DLfM ’18. New York, NY, USA: ACM. https://doi.org/10.1145/3273024.3273027.


Research Interests

  • Deep Learning
  • Music Theory
  • Tonal Music
  • Music Information Retrieval

Academic Record

  • PhD candidate in Music Technology, McGill University
  • Masters in Sound and Music Computing, Universitat Pompeu Fabra
  • Licenciatura en Informatica, Universidad de Guadalajara (México)
  • Profesional Medio en Piano, Instituto Nacional de Bellas Artes (México)