Zhengjun Yue is an Assistant Professor at the Multimedia Computing Group at the Delft University of Technology, the Netherlands, working on speech technology for healthcare. She received her B.Sc. degree in telecommunication engineering from Shanghai University, China, in 2017, and the M.Sc. degree in Artificial Intelligence from the University of Edinburgh, United Kingdom. She completed her PhD in the area of dysarthric speech recognition in the Speech and Hearing Group at the University of Sheffield, United Kingdom, funded by the Marie-Curie H2020 TAPAS project. After her PhD, she worked at King's College London (KCL), United Kingdom, as a postdoc funded by the British Engineering and Natural Sciences Research Council (EPSRC) SpeechWave project, focusing on robust dysarthric speech recognition using raw waveform acoustic modelling. She did a 3-month secondment in Therapy Box, London, United Kingdom, working on children (with language disorders) speech analysis.
Her interests are atypical speech processing and recognition. Specifically, she will work on pathological speech recognition using end-to-end models and raw waveform modelling, multi-lingual pathological speech recognition, cognitive decline detection (e.g., Dementia and depression) and early interventions, multi-modal acoustic modelling and multi-task learning for pathological speech, children speech analysis. She is also interested in building conversation AI medical systems for healthcare, and using heart sound and brain signals for medical care and treatment.
- Google Scholar: https://scholar.google.com/citations?hl=zh-CN&user=4txi6M0AAAAJ
- ResearchGate: https://www.researchgate.net/profile/Zhengjun-Yue
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