Automatic lip reading by using multimodal visual features

Shohei Takahashi*, Jun Ohya


研究成果: Conference contribution


Since long time ago, speech recognition has been researched, though it does not work well in noisy places such as in the car or in the train. In addition, people with hearing-impaired or difficulties in hearing cannot receive benefits from speech recognition. To recognize the speech automatically, visual information is also important. People understand speeches from not only audio information, but also visual information such as temporal changes in the lip shape. A vision based speech recognition method could work well in noisy places, and could be useful also for people with hearing disabilities. In this paper, we propose an automatic lip-reading method for recognizing the speech by using multimodal visual information without using any audio information such as speech recognition. First, the ASM (Active Shape Model) is used to track and detect the face and lip in a video sequence. Second, the shape, optical flow and spatial frequencies of the lip features are extracted from the lip detected by ASM. Next, the extracted multimodal features are ordered chronologically so that Support Vector Machine is performed in order to learn and classify the spoken words. Experiments for classifying several words show promising results of this proposed method.

ホスト出版物のタイトルProceedings of SPIE-IS and T Electronic Imaging - Intelligent Robots and Computer Vision XXXI
ホスト出版物のサブタイトルAlgorithms and Techniques
出版ステータスPublished - 2014 3月 17
イベントIntelligent Robots and Computer Vision XXXI: Algorithms and Techniques - San Francisco, CA, United States
継続期間: 2014 2月 42014 2月 6


名前Proceedings of SPIE - The International Society for Optical Engineering


ConferenceIntelligent Robots and Computer Vision XXXI: Algorithms and Techniques
国/地域United States
CitySan Francisco, CA

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学


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