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My research is about the development of interactive systems that can understand human communication. A lot of this work is grounded in speech recognition, and is based on building and applying statistical models to interpret communication signals. The Natural Speech Technology programme grant is concerned with core work in speech recognition and speech synthesis.
Speech to text transcription is a highly challenging task in itself, but ultimately we want to understand human communication, rather than only transcribing the words. Along these lines, we have done work concerned with interpreting and accessing information from speech, and multimodal interaction. For more than a decade now, a lot of our work has focussed on the recognition and interpretation of multiparty meetings, as part of the M4, AMI, AMIDA, and InEvent projects.
My research is about the development of interactive systems that can understand human communication. A lot of this work is grounded in speech recognition, and is based on building and applying statistical models to interpret communication signals. The Natural Speech Technology programme grant is concerned with core work in speech recognition and speech synthesis.
Speech to text transcription is a highly challenging task in itself, but ultimately we want to understand human communication, rather than only transcribing the words. Along these lines, we have done work concerned with interpreting and accessing information from speech, and multimodal interaction. For more than a decade now, a lot of our work has focussed on the recognition and interpretation of multiparty meetings, as part of the M4, AMI, AMIDA, and InEvent projects.
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IEEE ACM Trans. Audio Speech Lang. Process. (2023): 3346-3361
IEEE Open Journal of Signal Processing (2021): 33-66
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