Vowel recognition according to lip shapes by using neural network

Although speech recognition techniques have been successfully developed, the noise of the circumstances causes serious errors in recognition. In such cases, we expect that lip shapes are useful data as supporting data to improve the performance of recognition. We propose a method to extract lip shapes from input face images by using an active contour model. After transformation and normalization the extracted data are input to a neural network to recognize vowels. Experimental results of vowel recognition are shown to confirm effectiveness of the proposed method.