A visual speech recognition system for an ultrasound-based silent speech interface 

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17 août 2011

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Jun Cai et al., « A visual speech recognition system for an ultrasound-based silent speech interface  », HAL-SHS : linguistique, ID : 10670/1.nshka0


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The development of a continuous visual speech recognizer for a silent speech interface has been investigated using a visual speech corpus of ultrasound and video images of the tongue and lips. By using high-speed visual data and tied-state cross-word triphone HMMs, and including syntactic information via domain-specific language models, word-level recognition accuracy as high as 72% was achieved on visual speech. Using the Julius system, it was also found that the recognition should be possible in nearly real-time.

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