no code implementations • 19 Jun 2023 • Javier Naranjo-Alcazar, Jordi Grau-Haro, David Almenar, Pedro Zuccarello
The entire SIT process involves mass-rearing within a biofactory, sorting of the specimens by sex, sterilization, and subsequent release of the sterile males into the environment.
no code implementations • 16 Jun 2022 • Josep Zaragoza-Paredes, Javier Naranjo-Alcazar, Valery Naranjo, Pedro Zuccarello
Due to the drift in this field of study, this task has two limitations in terms of model complexity.
no code implementations • 30 Jul 2021 • Javier Naranjo-Alcazar, Sergi Perez-Castanos, Maximo Cobos, Francesc J. Ferri, Pedro Zuccarello
Acoustic scene classification (ASC) is one of the most popular problems in the field of machine listening.
no code implementations • 30 Jul 2021 • Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Francesc J. Ferri, Maximo Cobos
This year, it has been decided to study how this technique improves each of the datasets (last year only the MIC dataset was studied).
Direction of Arrival Estimation Sound Event Localization and Detection
no code implementations • 28 Jul 2021 • Javier Naranjo-Alcazar, Sergi Perez-Castanos, Aaron Lopez-Garcia, Pedro Zuccarello, Maximo Cobos, Francesc J. Ferri
The early fusion stage combines features resulting from the last convolutional block of the respective subnetworks at different time steps to feed a bidirectional recurrent structure.
no code implementations • 27 Jun 2020 • Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos
Anomalous sound detection (ASD) is, nowadays, one of the topical subjects in machine listening discipline.
no code implementations • 27 Jun 2020 • Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos
An automated audio captioning system has to be implemented as it accepts an audio as input and outputs as textual description, that is, the caption of the signal.
no code implementations • 20 Mar 2020 • Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos
The behavior of the block that implements such operators and, therefore, the entire neural network, can be modified depending on the input to the block, the established residual configurations and the selected non-linear activations.
no code implementations • 26 Jun 2019 • Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martin-Morato, Pedro Zuccarello, Maximo Cobos
The purpose of this paper is to analyze and discuss the performance of several residual block implementations within a state-of-the-art CNN-based architecture for end-to-end audio classification using raw audio waveforms.
no code implementations • 10 Jun 2019 • Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos, Frances J. Ferri
Many state-of-the-art solutions are based on image classification frameworks and, as such, a 2D representation of the audio signal is considered for training these networks.