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Soroll-IA: A Weakly Labeled Audio Dataset for Real-World Industrial Port Monitoring
Javier Naranjo-Alcazar, Jordi Grau-Haro, Ruben Ribes-Serrano +2
Soroll-IA is a weakly labeled environmental audio dataset recorded in a real-world industrial port environment in Valencia (Spain) using two fixed sensing nodes. The dataset compri…
Comprehensive Evaluation of CNN-Based Audio Tagging Models on Resource-Constrained Devices
Jordi Grau-Haro, Ruben Ribes-Serrano, Javier Naranjo-Alcazar +2
Convolutional Neural Networks (CNNs) have demonstrated exceptional performance in audio tagging tasks. However, deploying these models on resource-constrained devices like the Rasp…
A Data-Centric Framework for Machine Listening Projects: Addressing Large-Scale Data Acquisition and Labeling through Active Learning
Javier Naranjo-Alcazar, Jordi Grau-Haro, Ruben Ribes-Serrano +1
Machine Listening focuses on developing technologies to extract relevant information from audio signals. A critical aspect of these projects is the acquisition and labeling of cont…
Female mosquito detection by means of AI techniques inside release containers in the context of a Sterile Insect Technique program
Javier Naranjo-Alcazar, Jordi Grau-Haro, David Almenar +1
The Sterile Insect Technique (SIT) is a biological pest control technique based on the release into the environment of sterile males of the insect species whose population is to be…