欧美高清

Publications

Xu Yan, Wang Hongce, Dong Zhongping, Li Yuexuan,

2022 30th European Signal Processing Conference (EUSIPCO) 30th European Signal Processing Conference, EUSIPCO 2022 2022 30th European Signal Processing Conference (EUSIPCO), pp. 603-607 (2022)

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2026 IEEE International Conference on Consumer Electronics (ICCE) 44th IEEE International Conference on Consumer Electronics 2026 IEEE International Conference on Consumer Electronics (ICCE), pp. 1-6 (2026)

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Procedia Computer Science Vol 277, pp. 2709-2722 (2026)

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Pattern Recognition Letters Vol 204, pp. 1-7 (2026)

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2025 20th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) 20th International Workshop on Semantic and Social Media Adaptation & Personalization, pp. 108-113 (2025)

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BERA Annual Conference 2025 (2025)

Professional Activities

Speaker

9/2025

Member

2/6/2025

Speaker

8/4/2025

Member

5/2/2025

Invited speaker

29/11/2024

Projects

Zhao, Yingying (Principal Investigator) Abel, Andrew (Co-investigator)

06-Jan-2026 - 22-Jan-2026

Wang, Yuchen (Principal Investigator) Abel, Andrew (Co-investigator) Jia, Laibing (Co-investigator) Ul Ain, Noor (Researcher) Mevawalla, Zinnia (Co-investigator) Catlin, Jane (Co-investigator) Devasya, Ashwitha (Researcher) Tripathy, Aditi (Researcher) Nikou, Stavros (Co-investigator) Roxburgh, David (Co-investigator) Robinson, Deborah (Co-investigator)

This project is to co-design a professional learning programme on AI and inclusive education with teachers and student teachers, funded by EPSRC (拢9,961).

01-Jan-2025 - 31-Jan-2026

Abel, Andrew (Principal Investigator) Zhao, Yingying (Co-investigator)

A feasibility study into the use of AI to analyse dog behaviour. Funded by Innovation Voucher.

20-Jan-2025 - 19-Jan-2025

Abel, Andrew (Principal Investigator) Wang, Yuchen (Principal Investigator) Jia, Laibing (Principal Investigator)

欧美高清 Centre for Doctoral Training 2023 (approx. 拢260,000)

01-Jan-2023 - 30-Jan-2027

Abel, Andrew (Research Co-investigator)

This ambitious project aimed to develop a new generation of hearing aid technology that extracts speech from noise by using a camera to see what the talker is saying. The wearer of the device will be able to focus their hearing on a target talker and the device will filter out competing sound. This ability, which is beyond that of current technology, has the potential to improve the quality of life of the millions suffering from hearing loss (over 10m in the UK alone). Our approach was consistent with normal hearing. Listeners naturally combine information from both their ears and eyes: we use our eyes to help us hear. When listening to speech, eyes follow the movements of the face and mouth and a sophisticated, multi-stage process uses this information to separate speech from the noise and fill in any gaps. Our proposed approach was much the same. We exploit visual information from a camera, and novel algorithms for intelligently combining audio and visual information, in order to improve speech quality and intelligibility in real-world noisy environments.

01-Jan-2016 - 31-Jan-2019