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. 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 two papers about learning sound event classifiers in presence of label noise (ICASSP 2019 and WASPAA 2019), and co-organizing the DCASE 2019 Task 2 Audio tagging with noisy labels and minimal supervision, run on Kaggle with 880 teams participating. I have also spent the fall of 2019 as a research intern at Sound Understanding of Google AI Perception.
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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