معرفی
Professor Jon Barker is a faculty member at the University of Sheffield, where he holds a Personal Chair in the School of Computer Science. He leads the Speech and Hearing (SpandH) research group and co-founded the CHiME international workshop series on robust speech recognition.
- Education: PhD in Computer Science (University of Sheffield, 1999); BA in Electrical and Information Sciences (Cambridge University).
- Research Focus:
His work bridges machine listening and human auditory perception, with key contributions to noise-robust speech recognition, speech intelligibility prediction, and hearing aid signal processing for speech and music. Recent projects include the Clarity Challenges and Cadenza Challenges, large-scale machine learning initiatives to improve accessibility for hearing-impaired users.
Publication Trends: Recent articles emphasize machine learning for hearing aid optimization, dysarthric speech recognition, audio-visual integration, and music demixing algorithms. Collaborations span speech processing, psychoacoustics, and biomedical engineering.
- Scientific Awards:
- EURASIP Best Paper Award (2009)
- ISCA Best Paper Award (2008)
Grants and Leadership: He has secured major EPSRC grants including EnhanceMusic (2022-2026) and Challenges to Revolutionise Hearing Device Processing (2019-2025). He co-led the TAPAS Marie Curie Training Network (2017-2022) and led projects like AV-COGHEAR (2015-2018) and CHiME (2009-2012).
Labs and Teams: Barker collaborates closely with the Speech and Hearing Research Group and contributes to international initiatives like the CHiME Workshop. His lab develops open datasets such as the Clarity Speech Corpus and Audio-Visual Lombard Corpus.
