Magdalena Fuentes

I'm a PhD student at Université Paris Saclay (Télécom ParisTech - CentraleSupélec), under the supervision of Dr. Hélène C. Crayencour, Prof. Slim Essid and Prof. Juan Pablo Bello . My work focuses on computational rhythm analysis, in particular on beat, downbeat and microtiming estimation and structure prediction. Before that, I obtained a BEng in Electrical Engineering at Universidad de la República, where I also worked as a research and teaching assistant at the Engineering School and the Music School.

My research interests include machine listening, music information retrieval, machine learning and audio signal processing.

mgfuenteslujambio [at] gmail [dot] com


Research projects


STAREL

This interdisciplinary research project aims to develop innovative technological and music-analytical methods to gain fresh insight into the understanding and modeling of the rhythmic/metrical structure in audio recordings of expressive music performances. More information here.


Multimodal Signal Processing for Music Information Retrieval

The focus of this project was to assess the impact of multimodal processing techniques for the analysis and transcription of percussive Afro-Uruguayan performance music. More information in this video.


Publications


Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning
M. FUENTES, L.S. MAIA , M. ROCAMORA, L. W. P. BISCAINHO, H. CRAYENCOUR, S. ESSID, J.P. BELLO
IN Proceedings of the International Society for Music Information Retrieval Conference 2019

mirdata: Software for Reproducible Usage of Datasets
R. M. BITTNER, M. FUENTES, D. RUBINSTEIN, A. JANSSON, K. CHOI, T. Kell
IN Proceedings of the International Society for Music Information Retrieval Conference 2019

SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis
L.S. MAIA , M. FUENTES, L. W. P. BISCAINHO, M. ROCAMORA, S.ESSID
IN Proceedings of the International Society for Music Information Retrieval Conference 2019

A Music Structure Informed Downbeat Tracking System Using Skip-Chain Conditional Random Fields and Deep Learning
M. FUENTES, B. McFEE, H. CRAYENCOUR, S. ESSID, J.P. BELLO
IN Proceedings of the International Conference on Acoustics, Speech, and Signal Processing 2019

Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking
M. FUENTES, B. McFEE, H. CRAYENCOUR, S. ESSID, J.P. BELLO
IN Proceedings of the International Society for Music Information Retrieval Conference 2018

A Novel Dataset of Brazilian Rhythmic Instruments and Some Experiments in Computational Rhythm Analysis
L.S. MAIA, P.D. DE TOMAZ JR., M.FUENTES, M. ROCAMORA, L. W. P. BISCAINHO, M. V. M. DA COSTA, S. COHEN
IN Proceedings of the AES Latin American Conference 2018

An ENF-Based Audio Authenticity Method Robust to MP3 Compression
P. ZINEMANAS, M.FUENTES, P. CANCELA, J. A. APOLINÁRIO JR.
Circuits, Systems and Signal Processing Springer 2018

Detection of Follicles in Ultrasound Videos of Bovine Ovaries
A. GÓMEZ, G. CARBAJAL, M.FUENTES, C. VIÑOLES
IN Proceedings of the Iberoamerican Congress on Pattern Recognition 2016

Detection of ENF discontinuities Using PLL for Audio Authenticity
M.FUENTES, P. ZINEMANAS, P. CANCELA, J. A. APOLINÁRIO JR.
IN Proceedings of the IEEE Latin American Symposium on Circuits and Systems 2016

An Audio-Visual Database of Candombe Performances for Computational Musicological Studies
M. ROCAMORA, L. JURE, B. MARENCO, M.FUENTES, F. LANZARO, A. GÓMEZ
IN Proceedings of the International Congress on Science and Music Technology 2015

A Multimodal Approach for Percussion Music Transcription from Audio and Video
M. ROCAMORA, L. JURE, B. MARENCO, M.FUENTES, F. LANZARO, A. GÓMEZ
IN Proceedings of the Iberoamerican Congress on Pattern Recognition 2015