A novel automatic lip reading method based on polynomial fitting
AMT'10 Proceedings of the 6th international conference on Active media technology
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In this paper we present the details of a processing technique utilized to extract parameters from the images of a talking person's mouth region. These parameters are converted into impulse sequences for a given series of images. Spatio-temporal (ST) coding of the impulses provide an input to a spatio-temporal neural network architecture. The system is tested on a French digit recognition task and the results obtained are given. The overall procedure is sufficiently simple to allow us to make plans for its realization as a real time system.