All Outputs (4)

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.