Voice activity detection by lip shape tracking using EBGM
Masaki Aoki, Ken Masuda, Hiroyoshi Matsuda, Tetsuya Takiguchi, Yasuo Ariki · 2007
We propose a voice activity detection of a target speaker (driver) in a car by integrating lip movement and acoustic processing. To prevent the wrong detection caused by nontarget speakers using only acoustic processing, the proposed system extracts the lip movement of the target speaker by measuring the lip aspect ratio. An infrared camera is used to cope with the change of lighting environment. In order to extract the lip from gray scale images, Elastic Bunch Graph Matching is employed. Experimental results showed the proposed system improved the precision rate in the voice activity detection by approximately 40% compared to the method using only acoustic processing in a car.