Outputs (4)

The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning (2024)
Journal Article
Dabike, G. R., Cox, T. J., Miller, A. J., M. Fazenda, B., Graetzer, S., R. Vos, R., …P. Barker, J. (2024). The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning. Data in Brief, 57, Article 111199. https://doi.org/10.1016/j.dib.2024.111199

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.

The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction (2024)
Conference Proceeding
Barker, J., Akeroyd, M. A., Bailey, W., Cox, T. J., Culling, J. F., Firth, J., …Naylor, G. (2024). The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction. . https://doi.org/10.1109/icassp48485.2024.10446441

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
Bannister, S., E. Greasley, A., J. Cox, T., A. Akeroyd, M., Barker, J., Fazenda, B., …M. Whitmer, W. (2024). Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users. Frontiers in Psychology, 15, https://doi.org/10.3389/fpsyg.2024.1310176

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.

Urban Hedges as Noise Barriers: Does Plant Species Choice Affect Insertion Loss? (2024)
Journal Article
Webb, J., Cox, T., Blanusa, T., Griffiths, A., & Umnova, O. (in press). Urban Hedges as Noise Barriers: Does Plant Species Choice Affect Insertion Loss?. #Journal not on list, https://doi.org/10.61782/fa.2023.1152

Noise in urban environments is responsible for annoyance and adverse health effects. Noise barriers are used to mitigate noise and are effective when properly designed and installed, but provide little visual or biodiversity benefit. Hedges are frequ... Read More about Urban Hedges as Noise Barriers: Does Plant Species Choice Affect Insertion Loss?.