no code implementations • 26 Mar 2024 • Francesca Ronchini, Luca Comanducci, Fabio Antonacci
This study analyzes the performance of two different environmental classification systems when data generated from text-to-audio models is used for training.
no code implementations • 1 Feb 2024 • Francesca Ronchini, Luca Comanducci, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti
Reconstructing the room transfer functions needed to calculate the complex sound field in a room has several impor- tant real-world applications.
2 code implementations • 5 Oct 2023 • Francesca Ronchini, Romain Serizel
In recent years, deep learning systems have shown a concerning trend toward increased complexity and higher energy consumption.
no code implementations • 14 Oct 2022 • Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
The aim of the Detection and Classification of Acoustic Scenes and Events Challenge Task 4 is to evaluate systems for the detection of sound events in domestic environments using an heterogeneous dataset.
no code implementations • 3 Feb 2022 • Francesca Ronchini, Romain Serizel
A last experiment is proposed in order to study the impact of non-target events on systems outputs.
1 code implementation • 28 Sep 2021 • Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell
Detection and Classification Acoustic Scene and Events Challenge 2021 Task 4 uses a heterogeneous dataset that includes both recorded and synthetic soundscapes.
1 code implementation • 13 Oct 2020 • Francesca Ronchini, Daniel Arteaga, Andrés Pérez-López
In the last years, neural networks have become the prevailing method for sound Event Localization and Detection task, with convolutional recurrent neural networks being among the most used systems.
Audio and Speech Processing Sound