Portrait of Christos Plachouras

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.

my CV    &  

image processing corruption / 2022

Prelude in A flat — opening three measures Both piano voices share one treble stave. Three lines in 11/16, 11/16, and 13/16, beginning pianissimo.

At the end, colors

Prelude in A♭

2019

research

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.


My recent work is primarily in music and bioacoustics.

Previously, I've worked on various topic in music information retrieval, including structure analysis, fingerprinting, representation learning, rearrangement, evaluation, and ethnomusicology.

background

Education

Queen Mary University of London

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

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

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)

Earth Species Project

Earth Species Project - Research Intern
Foundation model development for bioacoustics
Nov 2025 - May 2026

Utopia Music

Utopia Music - Data Scientist (R&D)
Audio fingerprinting deep learning models for massive-scale broadcast monitoring
Oct 2022 - Jul 2023

Audiostack

Audiostack - R&D Engineer
Programmatic sound design, rearrangement, and mixing
Jan 2022 - Jul 2022

Music and Sound Cultures Research Lab

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

NYU Center for Data Science - Research Student
Hierarchical music structure analysis and structure similarity
Sep 2019 - May 2019

publications and presentations

(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

Foundation Models for Music: A Survey |
Ma, Y. et al
arXiv, 2024

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

Mapping Timbre Space in Regional Music Collections using HPSS Decomposition |
K.K. Ganguli, C. Plachouras, S. Sentürk, A. Eisenberg, & C. Guedes
International Conference on Timbre, Timbre 2020

Mapping the Sounds of the Swahili coast and the Arab Mashriq |

K. Trochidis, B. Russell, A. J. Eisenberg, K. Ganguli, O. Gonez, C. Plachouras, C. Guedes, & V. Danielson
TROMPA presentation, Digital Libraries for Musicology (ISMIR 2019), DLfM 2019

albums

Songs of Adelina album artwork: sunset over ocean waves

Songs of Adelina

Coming soon

compositions

performances