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Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data.
Front Robot AI
January 2025
IDLab, Ghent University-imec, Ghent, Belgium.
Smart cities deploy various sensors such as microphones and RGB cameras to collect data to improve the safety and comfort of the citizens. As data annotation is expensive, self-supervised methods such as contrastive learning are used to learn audio-visual representations for downstream tasks. Focusing on surveillance data, we investigate two common limitations of audio-visual contrastive learning: false negatives and the minimal sufficient information bottleneck.
View Article and Find Full Text PDFAcoustic, Mechanical, and Thermal Characterization of Polyvinyl Acetate (PVA)-Based Wood Composites Reinforced with Beech and Oak Wood Fibers.
Polymers (Basel)
January 2025
Research Laboratory for Sustainable Development and Health, Department of Applied Physics, Faculty of Sciences and Technics, Cadi Ayyad University, Marrakesh 40000, Morocco.
Considering the growing need for developing ecological materials, this study investigates the acoustic, mechanical, and thermal properties of wood composites reinforced with beech or oak wood fibres. Scanning electron microscopy (SEM) revealed a complex network of interconnected pores within the composite materials, with varying pore sizes contributing to the material's overall properties. Acoustic characterization was conducted using a two-microphone impedance tube.
View Article and Find Full Text PDFPorous ground treatments for propeller noise reduction in ground effect.
Sci Rep
January 2025
Department of Aerospace Engineering, University of Bristol, Bristol, BS8 1TR, UK.
This study investigates the aerodynamic and aeroacoustic behavior of propellers operating in ground-effect conditions, with an emphasis on the impact of porous ground surface treatments. The investigation explores the potential of porous materials to reduce propeller noise near the ground, a major barrier to the acceptance and integration of Urban Air Mobility (UAM) systems. Experiments were conducted in an anechoic chamber using an APC [Formula: see text] inch propeller in a pusher configuration.
View Article and Find Full Text PDFBuilding for speech: designing the next-generation of social robots for audio interaction.
Front Robot AI
January 2025
Aveni AI, Edinburgh, United Kingdom.
There have been significant advances in robotics, conversational AI, and spoken dialogue systems (SDSs) over the past few years, but we still do not find social robots in public spaces such as train stations, shopping malls, or hospital waiting rooms. In this paper, we argue that early-stage collaboration between robot designers and SDS researchers is crucial for creating social robots that can legitimately be used in real-world environments. We draw from our experiences running experiments with social robots, and the surrounding literature, to highlight recurring issues.
View Article and Find Full Text PDFWhat Is Grazing Time? Insights from the Acoustic Signature of Goat Jaw Activity in Wooded Landscapes.
Sensors (Basel)
December 2024
Rangeland Service, Ministry of Agriculture and Food Security, P.O. Box 30, Rishon LeZion 5025001, Israel.
Acoustic monitoring facilitates the detailed study of herbivore grazing by generating a timeline of sound bursts associated with jaw movements (JMs) that perform bite or chew actions. The unclassified stream of JM events was used here in an observational study to explore the notion of "grazing time". Working with shepherded goat herds in a wooded landscape, a horn-based acoustic sensor with a vibration-type microphone was deployed on a volunteer animal along each of 12 foraging routes.
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