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All Outputs (27)

Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings
Presentation / Conference
von Hünerbein, S., Cox, T., Kendrick, P., & Bradley, S. Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings. Presented at Wind Turbine Sound 2016, Gdansk, Poland

Microphone wind noise can corrupt outdoor measurements and recordings. It is a particular problem for wind turbine measurements because these cannot be carried out when the wind speed is low. Wind shields can be used, but often the sound level from t... Read More about Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings.

Towards room acoustics for an elderly population
Presentation / Conference
Davies, W., Cox, T., Kearon, A., Longhurst, B., & Webb, C. Towards room acoustics for an elderly population. Presented at Acoustics 2000, Liverpool

A qualitative social survey has been conducted on a group of 207 elderly people with a hearing loss. The aim of the study was to determine the extent to which acoustic problems in the built environment affect this subject group. The project was th... Read More about Towards room acoustics for an elderly population.

Machine learning challenges to revolutionise hearing device processing
Presentation / Conference
Graetzer, S., Cox, T., Barker, J., Akeroyd, M., Culling, J., & Naylor, G. Machine learning challenges to revolutionise hearing device processing. Poster presented at Speech in Noise (SPiN) 2020, Toulouse, France

In this project, we will run a series of machine learning challenges to revolutionise speech processing for hearing devices. Over five years, there will be three paired challenges. Each pair will consist of a challenge focussed on hearing-device proc... Read More about Machine learning challenges to revolutionise hearing device processing.

Clarity : machine learning challenges to revolutionise hearing device processing
Presentation / Conference
Graetzer, S., Akeroyd, M., Barker, J., Cox, T., Culling, J., Naylor, G., …Viveros Munoz, R. Clarity : machine learning challenges to revolutionise hearing device processing. Presented at e-Forum Acusticum 2020, Online

In the Clarity project, we will run a series of machine learning challenges to revolutionise speech processing for hearing devices. Over five years, there will be three paired challenges. Each pair will consist of a competition focussed on hearing-de... Read More about Clarity : machine learning challenges to revolutionise hearing device processing.

Dual frequency band amplitude panning for multichannel audio systems
Presentation / Conference
Hughes, R., Franck, A., Cox, T., Shirley, B., & Fazi, F. Dual frequency band amplitude panning for multichannel audio systems. Presented at 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science, Tokyo, Japan

Panning laws for multi-loudspeaker setups, for example vector base amplitude panning, are typically derived based on either low or high frequency assumptions. It is well known, however, that auditory cues for both localization and loudness differ at... Read More about Dual frequency band amplitude panning for multichannel audio systems.

The room-in-room effect and its influence on perceived room size in spatial audio reproduction
Presentation / Conference
Hughes, R., Cox, T., Shirley, B., & Power, P. The room-in-room effect and its influence on perceived room size in spatial audio reproduction. Presented at 141st Convention of the Audio Engineering Society, Los Angeles, USA

In spatial audio it can be desirable to give the impression of a target space (e.g. a church). Often the reproduction environment is assumed acoustically dead; in practice most listening spaces (e.g. domestic living rooms) introduce significant refle... Read More about The room-in-room effect and its influence on perceived room size in spatial audio reproduction.