Continuous Pose-Invariant Lipreading
In audio-visual automatic speech recognition (AVASR), no research to date has been conducted into the problem of recognising visual speech whilst the speaker is moving their head. In this paper, we extend our current system to deal with this task, which we entitle continuous pose-invariant lipreading. By developing an AVASR system which can deal with such a scenario, we believe we are making the system effectively "real-world" as it requires little cooperation from the user and as such can be used in a host of realistic applications (e.g. mobile phones, in-vehicles etc.). In this proof of concept paper, we show via our experiments on the CUAVE database, that recognising visual speech whilst a speaker is moving their head during the utterance is feasible.
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