Genís Plaja-Roglans, PhD student


I am a PhD student at Music Technology Group, Universitat Pompeu Fabra, Barcelona, under the supervision of Prof. Xavier Serra and Dr. Marius Miron. My research topics of interest are Audio Signal Processing (ASP), Music Information Retrieval (MIR), and Machine and Deep Learning (ML & DL). Specifically, I work on vocal melody extraction, vocal source separation, and automatic melodic pattern discovery. I am also applying these problems on World traditional music repertoires, to promote the cultural diversity in MIR. In that sense, I am leveraging from recent technologies to address these problems using few or noisy data. I am currently doing a research stay in moises.ai, working in the task of music source separation with Dr. Igor Gadelha. I am also a musician in several bands, very passionate about hiking and travelling.

Projects I contributed to

compIAM

Standarized and MIR-friendly implementations and access to tools and datasets for the computational analysis of Indian Art Music

Education and work experience

Education

  • PhD student at Music Technology Group

    (Sept. 2021 - ongoing)

  • Master in Sound and Music Computing

    (Sept. 2020 - Sept. 2021)

  • International exchange program in Australia

    (Feb. 2020 - July 2020)

  • Bachelor's Deg. in Audiovisual Systems Engineering

    (Sept. 2016 - July 2020)

Work experience

  • Research internship at moises.ai

    (Apr. 2023 - ongoing)
    Working on music source separation under the supervision of Dr. Igor Gadelha.

  • Acousting Engineering teacher

    (Sept. 2021 - ongoing)
    Given to the 3rd year of the Bachelor's Degree in Audiovisual Systems Engineering.

  • Research assistant (MTG)

    (Sept. 2020 - Aug. 2021)
    Contributing to the mirdata and soundata libraries by writing dataset loaders for datasets in the MTG, also contributing to the core development and maintenance of both libraries.

  • Research intern (MTG)

    (Nov. 2018 - Jan. 2020)
    Leading the Sounds of Science project, an initiative to promote research through the matter of sound. We also collected sounds from several different science departments, created a database, and performed labelling.

Selected publications

→ G. Plaja-Roglans, M. Miron, A. Shankar, X. Serra, 2023. Carnatic singing voice separation using cold diffusion on training data with bleeding. In: Proc. of the 24rd Int. Society for Music Information Retrieval Conference (ISMIR 2023), Milan, Italy. Link to paper.

→ G. Plaja-Roglans, M. Miron and X. Serra, 2022. A diffusion-inspired training strategy for singing voice extraction in the waveform domain. In: Proc. of the 23rd Int. Society for Music Information Retrieval Conference (ISMIR 2022), Bengaluru, India. Link to paper.

→ T. Nuttall, G. Plaja-Roglans, L. Pearson and X. Serra, 2022. In search of sañcaras: tradition-informed repeated melodic pattern recognition in Carnatic Music. In: Proc. of the 23rd Int. Society for Music Information Retrieval Conference (ISMIR 2022), Bengaluru, India. Link to the paper Link to paper.

→ T. Nuttall, G. Plaja-Roglans., L. Pearson, X. Serra, 2021. “The Matrix Profile for Automated Discovery of Repeated Motifs in Audio - Indian Carnatic Music”. In: International Symposium on Computer Music Multidisciplinary Research (CMMR), Tokyo, Japan. Link to paper.

→ M. Fuentes, J .Salamon, P. Zinemanas, M. Rocamora, G. Plaja-Roglans, I.R. Román, M. Miron, X. Serra. and Bello, J. P., 2021. “Soundata: A Python library for reproducible use of audio datasets“. arXiv e-prints, pp.arXiv-2109, Link to paper.


Additional research contribution

→ "mirdata: dataset loaders for reproducible research in MIR" in the Seminar for Reproducible Research organized by GdR ISIS (France).

→ Lecturer and main developer in the ISMIR 2022 Tutorial on Computational Methods for Supporting Corpus-Based Research on Indian Art Music.

→ Speaker and organizer in CompMusic workshop, organized in Chennai, India, as a satellite event of ISMIR 2022.
Genís Plaja 2021, web built upon Hassan Ali's studiorlio template