Outputs (19)

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.