I am a PhD candidate at the Music Technology Group of Universitat Pompeu Fabra in Barcelona under the supervision of Dr. Xavier Serra. My work focuses on audio dataset creation and deep learning for sound event recognition, with a focus on learning from noisy labels. My thesis is partially funded by two Google Faculty Research Awards (2017 & 2018) for the creation and exploitation of the Freesound Dataset (FSD).
My most recent contributions include a paper on how to deal with missing labels in AudioSet from my 2019 fall internship at Google Research, and a WASPAA 2019 paper also related to learning sound event classifiers in presence of label noise.
I have been a Task organizer of the DCASE Challenge for a couple of years - the last one was DCASE2019 Task 2 Audio tagging with noisy labels and minimal supervision, run on Kaggle with 880 teams participating.
My research interests include machine learning and signal processing with applications to machine listening, as well as sound and music computing and acoustics.
I have also been involved in the teaching of one undergraduate course (Sound and Music Processing) and in Coursera’s Audio Signal Processing for Music Applications as teaching assistant. I graduated from Technical University of Madrid (Spain) in Telecommunications Engineering and received my Master’s degree in Engineering Acoustics from Aalborg University (Denmark).
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