Dr Andrew Abel

Strathclyde Chancellor's Fellow

Computer and Information Sciences

Contact

Publications

Back to staff profile

Publications

Gabor-based audiovisual fusion for Mandarin Chinese speech recognition: Xu Yan, Wang Hongce, Dong Zhongping, Li Yuexuan, Abel Andrew; 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); https://doi.org/10.23919/eusipco55093.2022.9909634
Continuous valence-arousal space prediction and recognition based on feature fusion: Ayoub Misbah, Zhang Haiyang, Abel Andrew; 2024 IEEE International Conference on Industrial Technology (ICIT) 2024 IEEE International Conference on Industrial Technology (ICIT) IEEE International Conference on Industrial Technology (ICIT) Vol 2024 (2024); https://doi.org/10.1109/icit58233.2024.10540915
Maximum Gaussianality training for deep speaker vector normalization: Cai Yunqi, Li Lantian, Abel Andrew, Zhu Xiaoyan, Wang Dong; Pattern Recognition Vol 145 (2024); https://doi.org/10.1016/j.patcog.2023.109977
Optimization of lacrimal aspect ratio for explainable eye blinking: Ayoub Misbah, Abel Andrew, Zhang Haiyang; Intelligent Systems and Applications Intelligent Systems Conference 2023 Lecture Notes in Networks and Systems Vol 824, pp. 175-192 (2024); https://doi.org/10.1007/978-3-031-47715-7_13
Lip2Speech : lightweight multi-speaker speech reconstruction with Gabor features: Dong Zhongping, Xu Yan, Abel Andrew, Wang Dong; Applied Sciences Vol 14 (2024); https://doi.org/10.3390/app14020798
Automated Marking in Undergraduate Programming Classes: Goodfellow Martin, Abel Andrew, Liaskos Konstantinos, Levine John; CEP '24: Proceedings of the 8th Conference on Computing Education Practice , pp. 13-16 (2024); https://doi.org/10.1145/3633053.3633060

More publications

Research

Back to staff profile

Projects

Human-centred AI Technologies for Inclusion in Education and Society: Abel, Andrew (Principal Investigator) Wang, Yuchen (Principal Investigator) Jia, Laibing (Principal Investigator); Strathclyde Centre for Doctoral Training 2023 (approx. £260,000); 01-Jan-2023 - 30-Jan-2027
Towards visually-driven speech enhancement for cognitively-inspired multi-modal hearing-aid devices (AV-COGHEAR): 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

More projects

Contact

Back to staff profile