All Outputs (6)

Comparison of Deep Learning and Psychoacoustic Models to Predict UAV Noise Impact in Soundscapes (2025)
Presentation / Conference Contribution

* The increasing prevalence of Unmanned Aircraft Systems in urban environments necessitates a deeper understanding of their impact on the experience of urban soundscapes. This study presents Machine Learning models aimed at predicting perceived annoy... Read More about Comparison of Deep Learning and Psychoacoustic Models to Predict UAV Noise Impact in Soundscapes.

The effects of time-variant characteristics of unmanned aircraft system noise on reported annoyance (2025)
Presentation / Conference Contribution

Flight missions of Unmanned Aircraft Systems (UAS) are inherently unsteady due to the complex interactions between the environment (e.g., wind conditions) and the operative flight control system. These interactions result in the unsteadiness of the a... Read More about The effects of time-variant characteristics of unmanned aircraft system noise on reported annoyance.

Soundwalking in Salford: A Soundscape Approach to Drone Noise Assessment (2024)
Presentation / Conference Contribution

This paper introduces the method of controlled addition of drone sound sources to an existing acoustic scene in order to assess their impact using the soundwalking technique. A set of soundwalks were conducted at The Meadow, Salford to assess the per... Read More about Soundwalking in Salford: A Soundscape Approach to Drone Noise Assessment.

How do flight operations and ambient acoustic environments influence noticeability and noise annoyance associated with unmanned aircraft systems? (2024)
Presentation / Conference Contribution

In advance of anticipated wider deployments of advanced air mobility technology, the potential effects of introducing new sound sources such as unmanned aircraft systems (UAS, aka ‘drones’) on communities are largely unknown. To support the developme... Read More about How do flight operations and ambient acoustic environments influence noticeability and noise annoyance associated with unmanned aircraft systems?.

A deep learning approach to predicting UAV sound affect (2024)
Presentation / Conference Contribution

The most prevalent method by which the impact of an acoustic environment upon people is assessed is the `environmental noise' approach, in which the sounds are quantified based entirely on their recorded weighted sound pressure levels. This does not... Read More about A deep learning approach to predicting UAV sound affect.

Synthesis and Auralisations of Quadcopter Flyovers for Psychoacoustic Assessment. (2024)
Presentation / Conference Contribution

This paper describes a methodology to generate auralisations of quadcopter flyovers from recordings of hovering operations. The primary focus of this investigation is reproducing changes in the tonal components at the blade passing frequencies and th... Read More about Synthesis and Auralisations of Quadcopter Flyovers for Psychoacoustic Assessment..