hi!
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.
Christos Plachouras
about
Education
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
Experience (selected)
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
research
Publications and presentations
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
Music rearrangement using hierarchical segmentation |
Plachouras, C., Miron, M.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Utilizing Hierarchical Structure for Audio-Based Music Similarity |
Plachouras, C.
Late-Breaking Demo, International Society of Music Information Retrieval (ISMIR) Conference, 2021
Mapping Timbre Space in Regional Music Collections using HPSS Decomposition |
Ganguli, K.K., Plachouras, C., Sentürk, S., Eisenberg, A., & Guedes, C.
International Conference on Timbre, 2020
Computational Audio Analysis for Cultural Heritage Preservation |
Plachouras, C.Council on Undergraduate Research (CUR), 2019
Mapping the Sounds of the Swahili coast and the Arab Mashriq |
Trochidis, K., Russell, B., Eisenberg, A. J., Ganguli, K., Gonez, O., Plachouras, C., Guedes, C., & Danielson, V.TROMPA presentation, Digital Libraries for Musicology (ISMIR 2019), 2019
Active topics (contact me for collaboration)
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.
Music rearrangement
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.
Computational approaches to music cultural heritage preservation |
Digital music library audio-feature-based organization, indexing, visualization, and searchability.
music
Compositions (selected)
Performances (selected)
Rachmaninoff - Piano Concerto No. 2, I. Moderato |
Christos Plachouras, Iaonnis Potamousis, Live at NYUAD Blue Hall, December 2018
Bach - Partita No. 2 in C minor, I. Simfonia |
Christos Plachouras, Live at NYUAD Blue Hall, May 2018
Messiaen - Vingt Regards - II. Regard de l'étoile |
Christos Plachouras, Studio Odeon, Athens, October 2016
writing
Perspectives on Music Performance Anxiety |
Why your stage fright uncovers deeper issues in music education and culture
Reflections |
A collection of weekly reflections on topics such as wellbeing, happiness, and meditation.