Magdalena Fuentes
I'm Assistant Professor of Music Technology and Integrated Design & Media at the Music and Audio Research Lab (MARL) and Integrated Design & Media (IDM) at New York University (NYU). Previosly, I was a Postdoctoral Faculty Fellow at MARL and the Center for Urban Science and Progress (CUSP) at NYU. I did my Ph.D. at Université Paris Saclay in France, in the ADASP group at Télécom ParisTech, and L2S at CentraleSupélec. Before that, I obtained a B.Eng. in Electrical Engineering at Universidad de la República, Uruguay, where I also worked as a research and teaching assistant at the Engineering School and the Music School.My research interests include Machine Listening, Human-Centered Machine Learning, Multimodal Representation Learning, Self-Supervised Learning, Music Information Retrieval and Environmental Sound Analysis.
mfuentes [at] nyu [dot] edu
Data and software
Soundata: Python library for downloading, loading & working with environmental sound datasets.
Mirdata: Python library for working with Music Information Retrieval datasets.
Urban Sound & Sight (Urbansas): Dataset for audiovisual spatial urban scene understanding
MONYC: Music of New York City Dataset
SONYC-UST 2.1: Multilabel dataset from an urban acoustic sensor network
SAMBASET: A Brazilian samba dataset of historical samba de enredo recordings
BRID: The Brazilian Rhythmic Instruments Dataset for computational rhythm analysis and source separation
AUCD: The Afro-Uruguayan Candombe Dataset for computational rhythm analysis
Publications
Adapting Meter Tracking Models to Latin American Music
L.S. MAIA , M. ROCAMORA, L. W. P. BISCAINHO, M. FUENTES
Proceedings of the International Society for Music Information Retrieval Conference, ISMIR 2022
REIP: A Reconfigurable Environmental Intelligence Platform and Software Framework for Fast Sensor Network Prototyping
Y. PIADYK, B. STEERS, C. MYDLARZ, M. SALMAN, M. FUENTES, J. KHAN, H. JIANG, K. OZBAY, J. P. BELLO, C. SILVA
Sensors 2022
Urban Sound & Sight: Dataset and Benchmark For Audio-Visual Urban Scene Understanding
M. FUENTES, B. STEERS, P. ZINEMANAS, M. ROCAMORA, L. BONDI, J. WILKINS, Q. SHI, Y. HOU, S. DAS, X. SERRA, J. P. BELLO
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
A Study on Robustness to Perturbations for Representations of Environmental Sound
S. SRIVASTAVA, H. WU, J. RULFF, M. FUENTES, M. CARTWRIGHT, C. SILVA, A. ARORA, J. P. BELLO
Proceedings of the 30th European Signal Processing Conference, EUSIPCO 2022
How to Listen? Rethinking Visual Sound Localization
H. WU, M. FUENTES, P. SEETHARAMAN, J. P. BELLO
INTERSPEECH 2022
MONYC: Music of New York City Dataset
M. FUENTES, D. ZHAO, V. LOSTANLEN, M. CARTWRIGHT, C. MYDLARZ, J. P. BELLO
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2021
Exploring Modality-Agnostic Representations for Music Classification
H. WU, M. FUENTES, J. P. BELLO
Proceedings of the 18th Sound and Music Computing Conference, SMC 2021
On the use of automatic onset detection for the
analysis of Maracatu de Baque Solto
J. FONSECA, M. FUENTES, F. B. BARALDI, M. E. P. DAVIES,
Perspectives on Music, Sound and Musicology, SPRINGER 2021
SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context
M. CARTWRIGHT, J. CRAMER, A. E. M. MENDEZ, Y. WANG, H. WU, V. LOSTANLEN, M. FUENTES, G. DOVE, C. MYDLARZ, J. SALAMON, O. NOV, J. P. BELLO
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2020
Moving in Time: Computational Analysis of Microtiming in Maracatu de Baque Solto
M. E. P. DAVIES, M. FUENTES, J. FONSECA, L. ALY, M. JERÓNIMO, F. B. BARALDI
Proceedings of the International Society for Music Information Retrieval Conference, ISMIR 2020
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
Proceedings of the International Society for Music Information Retrieval Conference, ISMIR 2019
mirdata: Software for Reproducible Usage of Datasets
R. M. BITTNER, M. FUENTES, D. RUBINSTEIN, A. JANSSON, K. CHOI, T. Kell
Proceedings of the International Society for Music Information Retrieval Conference, ISMIR 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
Proceedings of the International Society for Music Information Retrieval Conference, ISMIR 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
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking
M. FUENTES, B. McFEE, H. CRAYENCOUR, S. ESSID, J.P. BELLO
Proceedings of the International Society for Music Information Retrieval Conference, ISMIR 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
Proceedings of the AES Latin American Conference, AES LAC 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
Proceedings of the Iberoamerican Congress on Pattern Recognition, CIARP 2016
Detection of ENF discontinuities Using PLL for Audio Authenticity
M.FUENTES, P. ZINEMANAS, P. CANCELA, J. A. APOLINÁRIO JR.
Proceedings of the IEEE Latin American Symposium on Circuits and Systems, LASCAS 2016
An Audio-Visual Database of Candombe Performances for Computational Musicological Studies
M. ROCAMORA, L. JURE, B. MARENCO, M.FUENTES, F. LANZARO, A. GÓMEZ
Proceedings of the International Congress on Science and Music Technology, CICTeM 2015
A Multimodal Approach for Percussion Music Transcription from Audio and Video
B. MARENCO, M.FUENTES, F. LANZARO, M. ROCAMORA, A. GÓMEZ
Proceedings of the Iberoamerican Congress on Pattern Recognition, CIARP 2015
Teaching
Lecturer at New York University (New York, USA)
Fall 2022
MPATE-GE 2623: Music Information RetrievalTA at Télécom ParisTech (Paris, France)
Spring 2019
Machine Learning Master Courses:MDI343 - Apprentissage statistique et fouille de donnees (ICA, NMF, PCA)
MDI341 - Machine learning avancé (CRF, HMMs, DNNs)
MDI732 - Mise en pratique Machine Learning Avancé
Fall 2017, Spring 2018
Machine Learning Master Courses:MDI341 - Machine learning avancé (CRF, DNNs)
MDI732 - Mise en pratique Machine Learning Avancé
PACT - Mentoring projects in Infant Cry Detection and Motion Classification.
TA at Universidad de la República (Montevideo, Uruguay)
Jun 2015 - Nov 2016
Engineering School, Electrical Engineer Department:AUDIODSP - Digital Audio Processing
TALLERINE - Monitoring small projects on Electrical Engineering
Mar 2013 - Nov 2016
Engineering School, Physics Department:F3 - Introduction to Electromagnetism
FISTER - Thermodinamics