AES Dublin 2019 Presenter or Author
Primary Affiliation: Austrian Academy of Sciences - Vienna, Austria
Andrés Marafioti studied audio engineering at the National University of Tres de Febrero (UNTREF), Buenos Aires, Argentina. He graduated with the Master's thesis entitled "Automatic identification of acoustical musical instruments", in which he developed a system that uses machine-learning techniques to identify which out of 21 different instruments is the main one in an audio file.
Since September 2017 he is part of the Acoustic Research Institute's workgroup "Mathematics and Signal Processing in Acoustics", where he works on sound generation and restoration for the project "Modern methods for the restoration of lost information in digital signals" (MERLIN).
P11: Machine Learning: Part 2
Audio Inpainting of Music by Means of Neural Networks (Author)