3 papers
cs.SD2026
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…
cs.SD2025
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…
cs.SD2024
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…