Welcome
I am a Professor in Computer Science at the University of Sheffield, and a member of the Speech and Hearing Research Group.
My research interests include speech recognition by humans and machines, hearing-aid signal processing for speech and music, audio-visual speech processing, machine listening and the application of machine learning to audio processing.
New
Research
- Machine Learning Challenges to Improve Music Listening for People with Hearing Loss, EPSRC project
- Challenges to Revolutionise Hearing Device Processing, EPSRC project
- Marie Curie ITN, TAPAS: Training Network on Automatic Processing of PAthological Speech
- The CHiME challenges
- The Audio-Visual Lombard Grid corpus
- English and Spanish Consistent Confusion Corpora
- More research …
Recent Publications
- Bannister, S., Greasley, A. E., Cox, T. J., Akeroyd, M. A., Barker, J., Fazenda, B., … Whitmer, W. M. (2024). Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users. Frontiers in Psychology, 15. 10.3389/fpsyg.2024.1310176
- Leglaive, S., Fraticelli, M., ElGhazaly, H., Borne, L., Sadeghi, M., Wisdom, S., … Barker, J. P. (2024). Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge.
- Mogridge, R., Close, G., Sutherland, R., Hain, T., Barker, J., Goetze, S., & Ragni, A. (2024). Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users using Intermediate ASR Features and Human Memory Models. In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul, Korea: IEEE.
- Dabike, G. R., Akeroyd, M., Bannister, S., Barker, J., Cox, T., Firth, B. F. J., … Whitmer, W. (2024). The ICASSP SP Cadenza Challenge: Music Demixing/Remixing For Hearing Aids. In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul, Korea: IEEE.
- Barker, J., Akeroyd, M., Bailey, W., Cox, T., Culling, J., Firth, J., … Naylor, G. (2024). THE 2ND CLARITY PREDICTION CHALLENGE: A MACHINE LEARNING CHALLENGE FOR HEARING AID INTELLIGIBILITY PREDICTION. In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul, Korea: IEEE.