All Outputs (3)

The Clarity & Cadenza Challenges (2024)
Journal Article
Akeroyd, M., Bailey, W., Bannister, S., Firth, J., Graetzer, S., Roa Dabike, G., …Research Project, C. (in press). The Clarity & Cadenza Challenges. #Journal not on list, 1209-1211. https://doi.org/10.61782/fa.2023.0876

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)
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.

The use of Voice Source Features for Sung Speech Recognition (2021)
Conference Proceeding
Roa Dabike, G., & Barker, J. (2021). The use of Voice Source Features for Sung Speech Recognition. . https://doi.org/10.1109/icassp39728.2021.9414950