All Outputs (20)

The First Cadenza Challenges: Using Machine Learning Competitions to Improve Music for Listeners With a Hearing Loss (2025)
Journal Article

Listening to music can be an issue for those with a hearing impairment, and hearing aids are not a universal solution. This paper details the first use of an open challenge methodology to improve the audio quality of music for those with hearing loss... Read More about The First Cadenza Challenges: Using Machine Learning Competitions to Improve Music for Listeners With a Hearing Loss.

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..

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.

Higher-fidelity analysis of air source heat pump noise via scanning intensity measurement (2024)
Presentation / Conference Contribution

The need to shift to reduce carbon emissions to hit Net Zero is currently driving plans for large scale rollouts of Air Source Heat Pumps (ASHPs), due to their increased thermal efficiency and lack of direct carbon emissions. Concern exists, however,... Read More about Higher-fidelity analysis of air source heat pump noise via scanning intensity measurement.

The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids (2024)
Presentation / Conference Contribution

This paper reports on the design and results of the 2024 ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids. The Cadenza project is working to enhance the audio quality of music for those with a hearing loss. The scenario for the c... Read More about The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids.

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.

The Clarity & Cadenza Challenges (2024)
Presentation / Conference Contribution

Clarity (Speech in noise) and Cadenza (music) are two EPSRC projects that are exploiting the latest in machine learning to create improved listening experiences for those with a hearing loss. In both we are running a series of open competitions, for... Read More about The Clarity & Cadenza Challenges.

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.

Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids (2023)
Presentation / Conference Contribution

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.

Comparison of ideal mask-based speech enhancement algorithms for speech mixed with white noise at low mixture signal-to-noise ratios (2022)
Journal Article

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.

Dataset of British English speech recordings for psychoacoustics and speech processing research : the Clarity Speech Corpus (2022)
Journal Article

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.

Dataset of British English speech recordings for psychoacoustics and speech processing research (2021)
Data

The Clarity Speech Corpus is a 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, which has the goal of advancing speech... Read More about Dataset of British English speech recordings for psychoacoustics and speech processing research.

Clarity-2021 challenges : machine learning challenges for advancing hearing aid processing (2021)
Presentation / Conference Contribution

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.

A set of equations for numerically calculating the interaural level difference in the horizontal plane (2021)
Journal Article
Akeroyd, M. A., Firth, J., Graetzer, S., & Smith, S. (2021). A set of equations for numerically calculating the interaural level difference in the horizontal plane. JASA Express Letters, 1(4), 044402. https://doi.org/10.1121/10.0004261

The variation of interaural level difference (ILD) with direction and frequency is particularly complex and convoluted. The purpose of this work was to determine a set of parametric equations that can be used to calculate ILDs continuously at any val... Read More about A set of equations for numerically calculating the interaural level difference in the horizontal plane.

Intelligibility prediction for speech mixed with white Gaussian noise at low signal-to-noise ratios (2021)
Journal Article
Graetzer, S., & Hopkins, C. (2021). Intelligibility prediction for speech mixed with white Gaussian noise at low signal-to-noise ratios. ˜The œJournal of the Acoustical Society of America (Online), 149(2), 1346-1362. https://doi.org/10.1121/10.0003557

The effect of additive white Gaussian noise and high-pass filtering on speech intelligibility at signal-to-noise ratios (SNRs) from -26 to 0 dB was evaluated using British English talkers and normal hearing listeners. SNRs below -10 dB were considere... Read More about Intelligibility prediction for speech mixed with white Gaussian noise at low signal-to-noise ratios.

Continuous evaluative and pupil dilation response to soundscapes
Presentation / Conference
Graetzer, S., Landowska, A., Harris, L., Cox, T., & Davies, W. Continuous evaluative and pupil dilation response to soundscapes. Presented at e-Forum Acusticum 2020, Online

We investigated human response to soundscapes using a continuous second-by-second rating of soundscapes and a more conventional overall rating of each sample at the end of each audition. In this work, our primary aim was to explore what continuous ra... Read More about Continuous evaluative and pupil dilation response to soundscapes.

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 Contribution

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.