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Found 7 papers, 0 papers with code
Detecting Electric Devices in 3D Images of Bags
Given the massive volume of luggage that needs to be screened for this threat, the best way to automate the detection is to first filter whether a bag contains an electric device or not, and if it does, to identify the number of devices and their location.
Phoneme-to-viseme mappings: the good, the bad, and the ugly
Not only is this ambiguity damaging to the performance of audio-visual classifiers operating on real expressive speech, there is also considerable choice between possible mappings.
Comparing heterogeneous visual gestures for measuring the diversity of visual speech signals
Visual lip gestures observed whilst lipreading have a few working definitions, the most common two are; `the visual equivalent of a phoneme' and `phonemes which are indistinguishable on the lips'.
Comparing phonemes and visemes with DNN-based lipreading
We compare the performance of a lipreading system by modeling visual speech using either 13 viseme or 38 phoneme units.
Resolution limits on visual speech recognition
Visual-only speech recognition is dependent upon a number of factors that can be difficult to control, such as: lighting; identity; motion; emotion and expression.
Some observations on computer lip-reading: moving from the dream to the reality
In the quest for greater computer lip-reading performance there are a number of tacit assumptions which are either present in the datasets (high resolution for example) or in the methods (recognition of spoken visual units called visemes for example).
Decoding visemes: improving machine lipreading
To undertake machine lip-reading, we try to recognise speech from a visual signal.
