Visual gesture variability between talkers in continuous speech
Bear, Y. 2017. Visual gesture variability between talkers in continuous speech. 28th British Machine Vision Conference. London, UK 04 - 07 Sep 2017 BMVA Press.
Recent adoption of deep learning methods to the field of machine lipreading research gives us two options to pursue to improve system performance. Either, we develop endtoend systems holistically or, we experiment to further our understanding of the visual speech signal. The latter option is more difficult but this knowledge would enable researchers to both improve systems and apply the new knowledge to other domains such as speech therapy.
|Conference||28th British Machine Vision Conference|
|Publication process dates|
|Deposited||24 Aug 2017|
|Book title||Proceedings of British Machine Vision Conference|
|Web address (URL)||http://www.bmva.org/bmvc/2017/toc.html|
© 2017 The author
|Visual gesture variability between talkers in continuous speech.pdf|
|License: CC BY-ND|
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