Supervisors with research interests in natural language processing and speech systems are listed below. Edoardo M. Ponti My Website Lecturer in Natural Language ProcessingResearchmodular deep learning, efficient architectures of language models, computational typology of language Frank Keller My Website Professor and Personal Chair of Computational Cognitive ScienceResearchNLP and cognitive science. language and vision tasks, such as image description, visual grounding, video summarization, visual story telling, computational narrative Hao Tang My Website Lecturer in Speech TechnologyResearchspeech representations in NLP, data structures that speech systems use to solve tasks Ivan Titov My Website Professor and Personal Chair of Natural Language ProcessingResearchnatural language understanding (question answering, information extraction, and semantic parsing), improving generalization across tasks and data distributions, interpretability and controllability of deep learning models Korin Richmond My Website Reader in Speech TechnologyResearchhuman language and machine learning. articulatory modelling, speech synthesis and recognition, pronunciation modelling, machine learning in tracking shapes in ultrasound videos Mark Steedman My Website Professor in Cognitive ScienceResearchcomputational cognitive and social science, natural language and speech processing, Artificial Intelligence Mirella Lapata My Website Professor and Personal Chair of Natural Language ProcessingResearchprobabilistic learning techniques for natural language understanding and generation, extracting semantic information from large volumes of text Pasquale Minervini My Website Lecturer in Natural Language ProcessingResearchNLP and ML. relational learning and learning from graph-structured data, solving knowledge-intensive tasks, hybrid neuro-symbolic models, compositional generalisation, designing data-efficient and robust deep learning models Peter Bell My Website Professor and Personal Chair of Speech TechnologyResearchautomatic speech recognition and understanding (cross-domain and cross-lingual adaptation, efficient alignment, search and decoding on audio data, training methods for ASR, end-to-end and raw-waveform methods, ASR systems for minority or under-resourced languages, speech representation learning, audio-visual speech recognition and enhancement) Simon King My Website Professor and Personal Chair of Speech ProcessingResearchbasic building blocks of speech: speech recognition (new acoustic models, multilingual systems), speech synthesis (unit selection methods, HMM-based speech synthesis, multilingual systems) Tiejun Ma My Website Professor and Personal Chair of Financial Computing (Risk Modelling)Researchfinancial computing, risk modelling This article was published on 2025-10-28
