Teaching/supervision

Teaching material

I have taught several courses in Sound and Music Computing at Escola Superior de Música de Catalunya and Universitat Pompeu Fabra. Some recent open teaching material:

• Cante Flamenco Tech, MOOC, Universitat Pompeu Fabra, MiríadaX platform (2019-2020)
• Gómez, E., Dignum V., (Academic Coordinators) Human behaviour and machine intelligence (HUMAINT) Winter School with open educational material (slides, videos).
• Gómez, E., Holzapfel, A., Miron, M., Sturm, B. L. Fairness, Accountability and Transparency in Music Information Research, Tutorial, ISMIR 2019.
• Gómez, E., Schedl, M., Hu, X., Serra, X., Music Information Retrieval: Overview, recent developments and future challenges, Tutorial, ISMIR 2016.

PhD supervision

I am now supervising the following PhD students:

1. Helena Cuesta (2017), PhD student in choir singing analysis, TROMPA project, Universitat Pompeu Fabra.
2. Juan Gómez (2018), PhD student, TROMPA project, Universitat Pompeu Fabra.
3. Lorenzo Porcaro (2018), PhD student, TROMPA project, Universitat Pompeu Fabra.
4. Furkan Yesiler (2018), PhD student at MIP-frontiers project, Universitat Pompeu Fabra.
5. Marina Escobar (2020), PhD student at HUMAINT team, Universidad Politécnica de Valencia, Universitat Pompeu Fabra.

PhD supervision 

1. Pritish Chadna, (2017-2021), Neural Networks For Singing Voice Extraction In Monaural Polyphonic Music Signals, TROMPA project, Universitat Pompeu Fabra.
2. Blai Meléndez (2016-2020), Relative Music Loudness Estimation In TV Broadcast Audio Using Deep Learning, co-supervised with Emilio Molina, industrial PhD with BMAT (Barcelona, Audio and Music Technologies), Universitat Pompeu Fabra.
3. Andrés Pérez (2017-2020), Parametric Analysis of Ambisonic Audio: Contributions to methods, applications and data generation, co-supervised with Adán Garriga, industrial PhD with Eurecat, Universitat Pompeu Fabra.
4. Olga Slizovskaya (2016-2020) Audio-visual approaches in music information retrieval (co-supervised by Gloria Haro), Universitat Pompeu Fabra.
5. Perfecto Herrera. MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. My supervised supervisor (co-supervised by Xavier Serra), defended in December 12th 2018.
6. Marius Miron Source separation methods for orchestral music: timbre-informed and score-informed strategies. (co-supervised by Jordi Janer), defended in February 8th, 2018, Universitat Pompeu Fabra.
7. Juan J. Bosch, ‘From Heuristics-Based to Data-Driven Audio Melody Extraction’, PhD program in ICTs, defended in July 2017, Universitat Pompeu Fabra.
8. Álvaro Sarasúa, ‘Musical Interaction Based on the Conductor Metaphor’, PhD program in Information, Communication and Audiovisual Technologies – DTIC, Universitat Pompeu Fabra, June 2017, Universitat Pompeu Fabra.
9. Agustín Martorell (PhD 2009-2013) Modelling tonal context dynamics by temporal multi-scale analysis, Universitat Pompeu Fabra.
10. Justin Salamon (PhD 2008-2013) Melody Extraction from Polyphonic Music Signals, Universitat Pompeu Fabra..
11. Jose Zapata (PhD 2009-2013) Comparative Evaluation and Combination of Automatic Rhythm Description Systems, Universitat Pompeu Fabra..

I have also supervised a number of master and undergraduate students.