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All Outputs (127)

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?.

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss (2023)
Conference Proceeding
Dabike, G. R., Bannister, S., Firth, J., Graetzer, S., Vos, R., Akeroyd, M. A., …Whitmer, W. (2023). The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss.

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.

Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids (2023)
Journal Article
Cox, T. J., Barker, J., Bailey, W., Graetzer, S., Akeroyd, M. A., Culling, J. F., & Naylor, G. (2023). Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (Online), https://doi.org/10.1109/icassp49357.2023.10433922

This paper reports on the design and outcomes of the ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids. The scenario was a listener attending to a target speaker in a noisy, domestic environment. There were multiple interferers and hea... Read More about Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids.

The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction (2022)
Journal Article
Barker, J., Akeroyd, M., J. Cox, T., F. Culling, J., Firth, J., Graetzer, S., …Viveros Munoz, R. (2022). The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction. Interspeech, 3508-3512. https://doi.org/10.21437/interspeech.2022-10821

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.

Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus (2022)
Journal Article
Graetzer, S., Akeroyd, M., Barker, J., Cox, T., Culling, J., Naylor, G., …Muñoz, R. (2022). Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus. Data in Brief, 41, 107951. https://doi.org/10.1016/j.dib.2022.107951

This paper presents the Clarity Speech Corpus, a publicly available, forty speaker British English speech dataset. The corpus was created for the purpose of running listening tests to gauge speech intelligibility and quality in the Clarity Project, w... Read More about Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus.

Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing (2021)
Journal Article
Graetzer, S., Barker, J., Cox, T., Akeroyd, M., Culling, J., Naylor, G., …Viveros Munoz, R. (2021). Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing. https://doi.org/10.21437/Interspeech.2021-1574

In recent years, rapid advances in speech technology have been made possible by machine learning challenges such as CHiME, REVERB, Blizzard, and Hurricane. In the Clarity project, the machine learning approach is applied to the problem of hearing aid... Read More about Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing.

Using scale modelling to assess the prehistoric acoustics of stonehenge (2020)
Journal Article
Cox, T., Fazenda, B., & Greaney, S. (2020). Using scale modelling to assess the prehistoric acoustics of stonehenge. Journal of Archaeological Science, 122, 105218. https://doi.org/10.1016/j.jas.2020.105218

With social rituals usually involving sound, an archaeological understanding of a site requires the acoustics to be assessed. This paper demonstrates how this can be done with acoustic scale models. Scale modelling is an established method in archite... Read More about Using scale modelling to assess the prehistoric acoustics of stonehenge.

Fast speech intelligibility estimation using a neural network trained via distillation (2020)
Presentation / Conference
Cox, T., Bailey, W., & Tang, Y. (2020, January). Fast speech intelligibility estimation using a neural network trained via distillation. Poster presented at 12th Speech in Noise Workshop, Toulouse, France

Objective measures of speech intelligibility have many uses, including the evaluation of degradation during transmission and the development of processing algorithms. One intrusive approach is to use a method based on the audibility of speech glimpse... Read More about Fast speech intelligibility estimation using a neural network trained via distillation.

Personality and cognitive factors in the assessment of multimodal stimuli in immersive virtual environments (2019)
Thesis
Bailey, J. Personality and cognitive factors in the assessment of multimodal stimuli in immersive virtual environments. (Thesis). University of Salford

Literature in the study of human response to immersive virtual reality systems often deals with the phenomenon of presence. It can be shown that audio and imagery with spatial information can interact to affect presence in users of immersive virtual... Read More about Personality and cognitive factors in the assessment of multimodal stimuli in immersive virtual environments.

Pupil dilation reveals changes in listening effort due to energetic and informational masking (2019)
Presentation / Conference
Woodcock, J., Fazenda, B., Cox, T., & Davies, W. (2019, September). Pupil dilation reveals changes in listening effort due to energetic and informational masking. Presented at ICA 2019, Aachen, Germany

Pupil dilation has previously been shown to be a useful involuntary marker of listening effort. An inverse relationship between pupil diameter and signal to noise ratio has been shown when speech is energetically masked by noise. The work reported he... Read More about Pupil dilation reveals changes in listening effort due to energetic and informational masking.

Influence of visual stimuli on perceptual attributes of spatial audio (2019)
Journal Article
Woodcock, J., Davies, W., & Cox, T. (2019). Influence of visual stimuli on perceptual attributes of spatial audio. Journal of the Audio Engineering Society, 67(7/8), 557-567. https://doi.org/10.17743/jaes.2019.0019

Reproduced audio is often accompanied with visuals (i.e. television, virtual reality, gaming, and cinema). However, the audio technology for these systems is often researched and evaluated in isolation from the visual component. Previous research ind... Read More about Influence of visual stimuli on perceptual attributes of spatial audio.

Background adaptation for improved listening experience in broadcasting (2019)
Presentation / Conference
Tang, Y., Cox, T., Fazenda, B., Liu, Q., & Wang, W. (2019, May). Background adaptation for improved listening experience in broadcasting. Presented at 44th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton, UK

The intelligibility of speech in noise can be improved by modifying the speech. But with object-based audio, there is the possibility of altering the background sound while leaving the speech unaltered. This may prove a less intrusive approach, affor... Read More about Background adaptation for improved listening experience in broadcasting.

Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge (2019)
Presentation / Conference
Kroos, C., Bones, O., Cao, Y., Harris, L., Jackson, P., Davies, W., …Plumbley, M. (2019, May). Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge. Presented at 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK

Humans are able to identify a large number of environmental sounds and categorise them according to high-level semantic categories, e.g. urban sounds or music. They are also capable of generalising from past experience to new sounds when applying the... Read More about Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge.

The effects of classroom noise on the reading comprehension of adolescents (2019)
Journal Article
Connolly, D., Dockrell, J., Shield, B., Conetta, R., Mydlarz, C., & Cox, T. (2019). The effects of classroom noise on the reading comprehension of adolescents. ˜The œJournal of the Acoustical Society of America (Online), 145(1), 372-381. https://doi.org/10.1121/1.5087126

An investigation has been carried out to examine the impact of different levels of classroom noise on adolescents’ performance on reading and vocabulary-learning tasks. A total of 976 English high school pupils (564 aged 11 to 13 years and 412 aged 1... Read More about The effects of classroom noise on the reading comprehension of adolescents.

Perceptual audio evaluation of media device orchestration using the multi-stimulus ideal profile method (2018)
Presentation / Conference
Wilson, A., Cox, T., Zacharov, N., & Pike, C. (2018, October). Perceptual audio evaluation of media device orchestration using the multi-stimulus ideal profile method. Presented at Audio Engineering Society 145th Convention, New York, USA

The evaluation of object-based audio reproduction methods in a real-world context remains a challenge as it is difficult to separate the effects of the reproduction system from the effects of the audio mix rendered for that system. This is often comp... Read More about Perceptual audio evaluation of media device orchestration using the multi-stimulus ideal profile method.

Improving intelligibility prediction under informational masking using an auditory saliency model (2018)
Presentation / Conference
Tang, Y., & Cox, T. (2018, September). Improving intelligibility prediction under informational masking using an auditory saliency model. Presented at International Conference on Digital Audio Effects, Aveiro, Portugal

The reduction of speech intelligibility in noise is usually dominated by energetic masking (EM) and informational masking (IM).
Most state-of-the-art objective intelligibility measures (OIM) estimate intelligibility by quantifying EM. Few measures m... Read More about Improving intelligibility prediction under informational masking using an auditory saliency model.