I'm a researcher and musician, particularly focused on computational methods for audio and music understanding, processing, and identification. You can find some of the things I'm up to on this website.
Queen Mary University of London, Center for Digital Music (C4DM) - PhD in Artificial Intelligence and Music
Thesis: Continual learning for music, Advisors: Emmanouil Benetos, Johan Pauwels
Sep 2023 - Present
Universitat Pompeu Fara, Music Technology Group (MTG) - MSc in Sound and Music Computing
Thesis: Evaluation framework for music representation learning, Advisors: Dmitry Bogdanov, Pablo Alonso
Sep 2021 - Aug 2023
New York University - BSc in Computer Science, Major in Music, Minor in Sound and Music Computing
Thesis: Hierarchical music structure analysis and similarity, Advisor: Carlos Guedes
Sep 2017 - May 2021
Utopia Music - Data Scientist (R&D)
Audio fingerprinting deep learning models for massive-scale broadcast monitoring
Oct 2022 - Jul 2023
Audiostack - R&D Engineer
Programmatic sound design, rearrangement, and mixing
Jan 2022 - Jul 2022
Music and Sound Cultures Research Lab - Research Assistant
Music similarity, mode recognition, and visualization for large, non-eurogenic music collections
May 2018 - Jun 2021
NYU Steinhardt - Research Student
Hierarchical music structure analysis and structure similarity
Sep 2019 - May 2019
mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks |
Plachouras, C., Alonso-Jiménez, P., Bogdanov, D.
Machine Learning for Audio Workshop, Neural Information Processing Systems (NeurIPS), 2023
Continual Learning for Music
Making deep learning systems more adaptable to real-world music scenarios.
Evaluation of discriminative music embeddings
Hollistic evaluation of music embeddings: robustness, ease of information extraction, and generalizability.
Audio Fingerprinting using self-supervised learning
Learning optimal fingerprints for music identification and broadcast monitoring.
Methods for rearranging a music recording so that it matches a new duration.
Audio-based hierarchical structure analysis and similarity |
Methods for computing a hierarchical representation of music structure from recordings and defining a similarity metric between them. Utilized for music similarity metrics and cover song identification.