منابع مشابه
A System for Automatic Lip Reading
In this paper, we present our approach of face and lip detection, lip modeling, and tracking. A new lip model based on Bézier Curves is used to capture the dynamics of the lips efficiently. The model is defined only through few points which are modeled using the Active Shape Model (ASM). Accurate detection of lip details is implemented using multiple independent feature templates. The method de...
متن کاملDictionary-Based Lip Reading Classification
Visual lip reading recognition is an essential stage in many multimedia systems such as “Audio Visual Speech Recognition” [6], “Mobile Phone Visual System for deaf people”, “Sign Language Recognition System”, etc. The use of lip visual features to help audio or hand recognition is appropriate because this information is robust to acoustic noise. In this paper, we describe our work towards devel...
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In this paper, we describe audiovisual automatic speech recognition experiments carried using visual parameters extracted from “natural” images. Unlike many other experiments in the AV ASR field, these visual parameters are obtained without any hand-labeling phase and are naturally noisy, due to the extraction process. We evaluate our models with different strategies among which : use of a shap...
متن کاملExtracting Features Point of Lip Movement for Computer - based Lip Reading System
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...
متن کاملAn Automatic Lip-reading Method Based on Polynomial Fitting
This paper addresses the problem of speaker-dependent isolate digits recognition using sole visual information. We employ intensity transformation and spatial filter to estimate the minimum enclosing rectangle of mouth in each frame. Thus, for each utterance, we can obtain two vectors composed of width and height of mouth, respectively. Then, we propose an approach to recognize the speech based...
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ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2017
ISSN: 2475-8841
DOI: 10.12783/dtcse/aita2017/16033