Lip reading relies on visible articulators to ease audiovisual speech understanding. However, lips and face alone provide very incomplete phonetic information: the tongue, that is generally not entirely seen, carries an important part of the articulatory information not accessible through lip reading. The question was thus whether the direct and full vision of the tongue allows tongue reading. ...

This paper describes a recognition method of Japanese single sounds for application to lip reading. Related researches investigated only five or ten sounds. In this paper, experiments were conducted for 45 Japanese single sounds by classifying them into five vowels category, ten consonants category, and 45 sounds category. We obtained recognition rates of 94.7, 30.9 and 30.0% with trajectory fe...

this paper gives the idea about lip reading. Generally image processing is done to process an image for different application. There is variety of transform base feature extraction method. Visual recognition system or lip reading method is important generally in noisy condition. The new modality in image processing area is gives you dictation of voice. Keywords— ANN (Artificial Neural Network),...

In this paper we investigate feature space transforms to improve lip-reading performance for multi-stream HMM based audio-visual speech recognition (AVSR). The feature space transforms include non-linear Gaussianization transform and feature space maximum likelihood linear regression (fMLLR). We apply Gaussianization at the various stages of visual front-end. The results show that Gaussianizing...

In the quest for greater computer lip-reading performance there are a number of tacit assumptions which are either present in the datasets (high resolution for example) or in the methods (recognition of spoken visual units called “visemes” for example). Here we review these and other assumptions and show the surprising result that computer lip-reading is not heavily constrained by video resolut...

This paper presents methods to improve speech recognition accuracy by incorporating automatic lip reading. The paper improves lip reading accu­ racy by following approaches; 1)collection of im­ age and speech synchronous data of 5240 words， 2)feature extraction of 2・dimensional power spect日 around a mouth and 3)sub-word unit HMMs with tied-mixture distribution(Tied-Mixture HMMs). Ex­ periments ...

Lip reading is a technique of communication used by a hard hearing person in their conversation between themselves or with the normal person. Sometime the word they understand is not the same as what the other speaker talk. Computer-based lip reading system may help them to track those words based on the movement of the lips. When speak, lip make a movement that may differ between several words...

For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...

Lip reading is used to understand or interpret speech without hearing it, a technique especially mastered by people with hearing difficulties. The ability to lip read enables a person with a hearing impairment to communicate with others and to engage in social activities, which otherwise would be difficult. Recent advances in the fields of computer vision, pattern recognition, and signal proces...

An experimental multimodal system combining natural input modes such as speech, lip movement, and gaze is proposed in this paper. It benefits from novel human-computer interaction (HCI) modalities and from multimodal integration for tackling the problem of the HCI bottleneck. This system allows the user to select menu items on the screen by employing speech recognition, lip reading, and gaze tr...