5 citations · 12 across the 7 of their papers we have counts for
7 papers
A Data-Driven Exploration of Elevation Cues in HRTFs: An Explainable AI Perspective Across Multiple Datasets
Juan Antonio De Rus, Mario Montagud, Jesus Lopez-Ballester +2
Precise elevation perception in binaural audio remains a challenge, despite extensive research on head-related transfer functions (HRTFs) and spectral cues. While prior studies hav…
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Maximo Cobos +2
Acoustic scene classification (ASC) is one of the most popular problems in the field of machine listening. The objective of this problem is to classify an audio clip into one of th…
TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello +2
Sound event localisation and detection (SELD) is a problem in the field of automatic listening that aims at the temporal detection and localisation (direction of arrival estimation…
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Aaron Lopez-Garcia +3
The use of multiple and semantically correlated sources can provide complementary information to each other that may not be evident when working with individual modalities on their…
Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Jose Ferrandis +2
Sound Event Localization and Detection (SELD) is a problem related to the field of machine listening whose objective is to recognize individual sound events, detect their temporal…
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarrello +4
The problem of training with a small set of positive samples is known as few-shot learning (FSL). It is widely known that traditional deep learning (DL) algorithms usually show ver…
CNN depth analysis with different channel inputs for Acoustic Scene Classification
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello +2
Acoustic scene classification (ASC) has been approached in the last years using deep learning techniques such as convolutional neural networks or recurrent neural networks. Many st…