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06/19/2023
Female mosquito detection by means of AI techniques inside release containers in the context of a Sterile Insect Technique program
The Sterile Insect Technique (SIT) is a biological pest control techniqu...
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06/16/2022
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations
Acoustic scene classification is an automatic listening problem that aim...
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07/30/2021
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint
Acoustic scene classification (ASC) is one of the most popular problems ...
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07/30/2021
TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs
Sound event localisation and detection (SELD) is a problem in the field ...
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07/28/2021
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
The use of multiple and semantically correlated sources can provide comp...
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06/27/2020
Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation
Automated audio captioning is machine listening task whose goal is to de...
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06/27/2020
Anomalous Sound Detection using unsupervised and semi-supervised autoencoders and gammatone audio representation
Anomalous sound detection (ASD) is, nowadays, one of the topical subject...
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06/25/2020
Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs
Sound Event Localization and Detection (SELD) is a problem related to th...
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03/20/2020
Acoustic Scene Classification with Squeeze-Excitation Residual Networks
Acoustic scene classification (ASC) is a problem related to the field of...
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03/20/2020
On the performance of different excitation-residual blocks for Acoustic Scene Classification
Acoustic Scene Classification (ASC) is a problem related to the field of...
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02/26/2020
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments
The problem of training a deep neural network with a small set of positi...
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06/26/2019
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification
Residual learning is a recently proposed learning framework to facilitat...
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06/10/2019