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Study on Tibetan speech recognition based on ultrasonic tongue imaging, lip video, and audio

Speech recognition system is a pattern recognition system in essence, including feature extraction, pattern matching, reference pattern library and other three basic units.This paper implements a speech recognition system based on DNNHMM structure with Kaldi toolkit. For multiple pronunciators, it can have synchronous acquisition of the tongue body morphology, lipping, pronunciation and other multiple physiological signals of Tibetan Lhasa dialect and process the data for feature extraction, model training, voice recognition, etc. The result shows that recognition results may vary according to different pronunciator models or articulation parts and the pronunciators of different articulation parts have low dependent recognition error rate but high independent recognition error rate. It also shows that ultrasonic tongue imaging and lip video image sequence includes pronunciator’s acoustic feature information, which provide great significance for the study of voice recognition, particularly the speech synthesis and silent speech interface.