PUBLICATIONS

Some of my machine learning scientific research work is published in top-tier peer-reviewed conferences and journals. I also like to write about music, science and technology in formats accessible to the general public.

GENERAL PUBLIC

How artists get paid from music streaming
A visual essay describing some of the basic mechanisms that underpin music streaming.
The Pudding, 2022

SCIENTIFIC PUBLICATIONS

Full list on my Google Scholar profile. A few selected publications below:

Equivariant Self-Supervision for Musical Tempo Estimation
E Quinton - Proceedings of the 23rd Conference of the International Society for Music Information Retrieval (ISMIR), 2022

Contrastive audio-language learning for music
I Manco, E Benetos, E Quinton, G Fazekas - Proceedings of the 23rd Conference of the International Society for Music Information Retrieval (ISMIR), 2022

Learning music audio representations via weak language supervision
I Manco, E Benetos, E Quinton, G Fazekas - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

MusCaps: Generating Captions for Music Audio
I Manco, E Benetos, E Quinton, G Fazekas - International Joint Conference on Neural Networks (IJCNN), 2021

Tracking metrical structure changes with sparse-NMF
E Quinton, K O’Hanlon, S Dixon, M Sandler - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

Estimation of the reliability of multiple rhythm features extraction from a single descriptor
E Quinton, M Sandler, S Dixon - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

Computational ethnomusicology for exploring trends in Trinidad steelband music through history
E Quinton, F Spielmann, BL Sturm - International Symposium on Computer Music Multidisciplinary Research (CMMR), 2017

Extraction of metrical structure from music recordings
E Quinton, C Harte, M Sandler - International Conference on Digital Audio Effects (DAFx), 2015