1 code implementation • 30 Mar 2022 • Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
This is due to 1) the different mappings between MIDI parameters used by different instruments, and 2) the fact that musicians adapt their way of playing to the surrounding acoustic environment.
1 code implementation • 24 Feb 2022 • Federico Simonetta, Federico Avanzini, Stavros Ntalampiras
This study focuses on the perception of music performances when contextual factors, such as room acoustics and instrument, change.
1 code implementation • 24 Jun 2021 • Roberto Barumerli, Daniele Bianchi, Michele Geronazzo, Federico Avanzini
This paper introduces a shoebox room simulator able to systematically generate synthetic datasets of binaural room impulse responses (BRIRs) given an arbitrary set of head-related transfer functions (HRTFs).
2 code implementations • 4 Mar 2020 • Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
This paper describes an open-source Python framework for handling datasets for music processing tasks, built with the aim of improving the reproducibility of research projects in music computing and assessing the generalization abilities of machine learning models.
Multimedia Digital Libraries Sound Audio and Speech Processing H.5.5; I.2.m; H.3.7; J.5
no code implementations • 14 Feb 2019 • Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
Towards improving the performance in various music information processing tasks, recent studies exploit different modalities able to capture diverse aspects of music.