no code implementations • 14 Aug 2024 • Federico Simonetta, Rishav Mondal, Luca Andrea Ludovico, Stavros Ntalampiras
The Ricordi archive, a prestigious collection of significant musical manuscripts from renowned opera composers such as Donizetti, Verdi and Puccini, has been digitized.
1 code implementation • 4 Aug 2024 • Federico Simonetta, Francesca Certo, Stavros Ntalampiras
In this study, we aim to determine if generalized sounds and music can share a common emotional space, improving predictions of emotion in terms of arousal and valence.
1 code implementation • 29 Apr 2024 • Nicolas Facchinetti, Federico Simonetta, Stavros Ntalampiras
In summary, this work contributes to the understanding of the robustness of CNN-LSTM models, particularly in SER scenarios, and the impact of AEs.
1 code implementation • 5 Aug 2022 • Alessandro Maria Poirè, Federico Simonetta, Stavros Ntalampiras
The purpose of this paper is to compare different learnable frontends in medical acoustics tasks.
no code implementations • 5 Aug 2022 • Michele Cozzatti, Federico Simonetta, Stavros Ntalampiras
This paper proposes a weakly-supervised machine learning-based approach aiming at a tool to alert patients about possible respiratory diseases.
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 • 19 Nov 2021 • Marco Colussi, Stavros Ntalampiras
After constructing a deep neural network for urban sound classification, this work focuses on the sensitive application of assisting drivers suffering from hearing loss.
no code implementations • 1 May 2021 • Michelangelo Acconcjaioco, Stavros Ntalampiras
This work introduces the one-shot learning paradigm in the computational bioacoustics domain.
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 • 10 Feb 2020 • Axel Chemla--Romeu-Santos, Stavros Ntalampiras, Philippe Esling, Goffredo Haus, Gérard Assayag
Extraction of symbolic information from signals is an active field of research enabling numerous applications especially in the Musical Information Retrieval domain.
1 code implementation • 24 Jun 2019 • Federico Simonetta, Carlos Cancino-Chacón, Stavros Ntalampiras, Gerhard Widmer
The backbone of the method consists of a convolutional neural network (CNN) estimating the probability that each note in the score (more precisely: each pixel in a piano roll encoding of the score) belongs to the melody line.
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.