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Prof Trevor Cox's Outputs (149)

The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning. (2024)
Journal Article

This paper presents the Cadenza Woodwind Dataset. This publicly available data is synthesised audio for woodwind quartets including renderings of each instrument in isolation. The data was created to be used as training data within Cadenza's second o... Read More about The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning..

A dynamic stiffness method to estimate the sound insulation of an arbitrarily installed thick cross laminated timber (CLT) plate (2024)
Presentation / Conference Contribution

There is no generally accepted standard methodology to determine the dynamic constants of whole cross laminated timber (CLT) plates. Combined with the observation that CLT walls or floors are installed in situ under very different conditions to labor... Read More about A dynamic stiffness method to estimate the sound insulation of an arbitrarily installed thick cross laminated timber (CLT) plate.

Understanding human responses to air source heat pump noise: examining tonal changes and operating cycles (2024)
Presentation / Conference Contribution

Air Source Heat Pumps are pivotal in the Government of the United Kingdom's target of achieving net zero carbon emissions by 2050. However, their widespread adoption faces challenges, with noise being among the main barriers to entry and a restrictin... Read More about Understanding human responses to air source heat pump noise: examining tonal changes and operating cycles.

The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction (2024)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the 2nd Clarity Prediction Challenge (CPC2) for predicting the intelligibility of hearing aid processed signals heard by individuals with a hearing impairment. The challenge was designed to promote new... Read More about The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction.

Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users (2024)
Journal Article

Introduction: Previous work on audio quality evaluation has demonstrated a developing convergence of the key perceptual attributes underlying judgments of quality, such as timbral, spatial and technical attributes. However, across existing research t... Read More about Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users.

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss (2023)
Presentation / Conference Contribution

The Cadenza project aims to improve the audio quality of music for those who have a hearing loss. This is being done through a series of signal processing challenges, to foster better and more inclusive technologies. In the first round, two common li... Read More about The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss.

The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes (2023)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the 2nd Clarity Enhancement Challenge (CEC2), a challenge for stimulating novel approaches to hearing-aid speech intelligibility enhancement. The challenge was for a listener attending to a target spea... Read More about The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes.

The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction (2022)
Presentation / Conference Contribution

This paper reports on the design and outcomes of the 1st Clarity Prediction Challenge (CPC1) for predicting the intelligibility of hearing aid processed signals heard by individuals with a hearing impairment. The challenge was designed to promote the... Read More about The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction.

Improving the measurement and acoustic performance of transparent face masks and shields (2022)
Journal Article
Cox, T. J., Dodgson, G., Harris, L., Perugia, E., Stone, M. A., & Walsh, M. (2022). Improving the measurement and acoustic performance of transparent face masks and shields. ˜The œJournal of the Acoustical Society of America (Online), 151(5), 2931-2944. https://doi.org/10.1121/10.0010384

Opaque face masks harm communication by preventing speech-reading (lip-reading) and attenuating high-frequency sound. Although transparent masks and shields (visors) with clear plastic inserts allow speech-reading, they usually create more sound atte... Read More about Improving the measurement and acoustic performance of transparent face masks and shields.