
Songs of Adelina
Coming soon

I research how to improve audio perception in AI models.
I'm a final-year
PhD student at
C4DM,
Queen Mary
University of London.
I'm currently based in London.
image processing corruption / 2022
Prelude in A♭
2019
I'm currently working on improving how machines perceive and explain audio. This involves:
1. designing better audio representations,
2. developing better multimodal LLMs, and
3. devising novel evaluations.
Queen Mary University of London, Center for Digital Music
(C4DM) - PhD in Artificial Intelligence and Music
Thesis: Multimodal audio language models, Advisors: Emmanouil Benetos,
Johan
Pauwels
Sep 2023 - (Sep 2027)
Universitat Pompeu Fabra, Music Technology Group (MTG) -
MSc in Sound and Music Computing
Thesis: Evaluation framework for music representation learning, Advisors: Pablo Alonso, Dmitry Bogdanov
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
Earth Species Project - Research Intern
Foundation model development for bioacoustics
Nov 2025 - May 2026
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 Center for Data Science - Research Student
Hierarchical music structure analysis and structure similarity
Sep 2019 - May 2019
(alternatively, see google scholar)
BEANS-Next and ROOTS: Broadening Audio-Language Capabilities for
Bioacoustics |
C. Plachouras et al.
arXiv, [Under review], 2026
Extending Music Annotation Schemas: Zero-Shot Prediction or
Few-Shot Adaptation? |
C. Plachouras, E. Benetos, J. Pauwels
arXiv, [Under review], 2026
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for
Omni MLLMs |
Li et al.
International Conference on Learning Representations, ICLR 2026
Finetuning Strategies for Querying Sounds by Vocal
Imitation |
A. Bhattacharjee, C. Plachouras, S. Chang, E. Benetos
1st place, QVIM Challenge, AES AIMLA 2025
Towards a Unified Representation Evaluation Framework Beyond
Downstream Tasks |
C. Plachouras, J. Guinot, G. Fazekas, E. Quinton, E. Benetos, J. Pauwels
International Joint Conference on Neural Networks, IJCNN 2025
Learning Music Audio Representations with Limited
Data |
C. Plachouras, E. Benetos, J. Pauwels
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP
2025
mir_ref: A Representation Evaluation Framework for Music Information
Retrieval Tasks |
C. Plachouras., P. Alonso-Jiménez, D. Bogdanov
Machine Learning for Audio Workshop, Neural Information Processing Systems, NeurIPS
2023
Music rearrangement using hierarchical segmentation |
C. Plachouras, M. Miron
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP
2023
Utilizing Hierarchical Structure for Audio-Based Music
Similarity |
C. Plachouras
Late-Breaking Demo, International Society of Music Information Retrieval Conference,
ISMIR 2021
Christos Plachouras, 2021
Christos Plachouras, 2020
NYU Bleep Bloop, 2019
Omer Quartet, NYUAD Blue Hall, 2019
Christos Plachouras, Ioannis Potamousis. NYUAD Blue Hall, 2018
Christos Plachouras, NYUAD Blue Hall, 2018
Christos Plachouras, Athens, 2016
Making music online in real time with musicians across the world, 2020