Challenges to Revolutionise Hearing Device processing

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.

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
Graetzer, S., Akeroyd, M., Barker, J., Cox, T., Culling, J., Naylor, G., …Viveros Munoz, R. Clarity : machine learning challenges to revolutionise hearing device processing. Presented at e-Forum Acusticum 2020, Online

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.

The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes
Conference Proceeding
Akeroyd, M. A., Bailey, W., Barker, J., Cox, T. J., Culling, J. F., Graetzer, S., …Tu, Z. (2023). The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes. . https://doi.org/10.1109/icassp49357.2023.10094918

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)
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 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.