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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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multimodal learning scenarios (text, speech, code), contributing to adaptive dialogue design, and examining how novice programmers develop reasoning, reflection, and metacognitive strategies when engaging with
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oral communication skills in English. Given the interdisciplinary nature of the project, we are looking for candidates who are intellectually curious, collaborative, and motivated to work across
Searches related to speech recognition
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