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Thesis

Visual recognition of human communication

Abstract:

The objective of this work is visual recognition of speech and gestures. Solving this problem opens up a host of applications, such as transcribing archival silent films, or resolving multi- talker simultaneous speech, but most importantly it helps to advance the state of the art in speech recognition by enabling machines to take advantage of the multi-modal nature of human communications. However, visual recognition of speech and gestures is a challenging problem, in part due to the lack ...

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Division:
MPLS
Department:
Engineering Science
Role:
Author

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Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:ac44ec7c-20e8-4b04-8d80-66687bd8e881
Deposit date:
2018-03-25

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