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2026 Details Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is not limited
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What’s the Project About? Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is
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, multilingual resources for low-resource languages Design, implement, and evaluate methods that leverage multimodal signals, such as images and speech, to improve multilingual and cross-lingual language models
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The project is in close collaboration with the National Physical Laboratory and benefits from the scientific environment and resources provided by the Centre for Vision, Speech and Signal Processing
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advance next-generation hearing assistive technologies through machine learning and statistical signal processing. The research in the centre focuses on enabling robust, real-time speech understanding in
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, Denmark, aims to advance next-generation hearing assistive technologies through machine learning and statistical signal processing. The research in the centre focuses on enabling robust, real-time speech
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. These alterations, collectively referred to as synaptopathy5 , impair neural signal transmission and may explain why some individuals experience speech-in-noise difficulties despite normal audiometric thresholds
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collaboration with the National Physical Laboratory and the Institute of Cancer Research and benefits from the scientific environment and resources provided by the Centre for Vision, Speech and Signal Processing
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proposed for testing (behavioural online experiments, bio-signals, EEG, Eye Tracking). They will be involved in all steps of the research: experimental design, data collection, analysis, including science
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Environment This studentship is based at the Centre for Vision, Speech and Signal Processing (CVSSP). CVSSP is: The largest UK research centre in its field Ranked 1st in the UK for Computer Vision research