Visual Speech Recognition and Utterance Segmentation Based on Mouth Movement

@article{Yau2007VisualSR,
  title={Visual Speech Recognition and Utterance Segmentation Based on Mouth Movement},
  author={Wai Chee Yau and Hans Weghorn and Dinesh Kant Kumar},
  journal={9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007)},
  year={2007},
  pages={7-14}
}
This paper presents a vision-based approach to recognize speech without evaluating the acoustic signals. The proposed technique combines motion features and support vector machines (SVMs) to classify utterances. Segmentation of utterances is important in a visual speech recognition system. This research proposes a video segmentation method to detect the start and end frames of isolated utterances from an image sequence. Frames that correspond to `speaking' and `silence' phases are identified… CONTINUE READING

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