In recent years, lip-reading systems have received much attention, since they play an important role in human communication with computer especially for hearing impaired and elderly people. In this paper, we introduce a novel Japanese lip-reading system combines Hypercolumn Neural Network model (HCM) with Hidden Markov Model (HMM). In this system, we use HCM to extract the visual speech feature...

Objectives: One of the factors predicting language impairments is an early limited lexicon in children. An early limited lexicon can also lead to limited performances in other language areas. This study was aimed to examine receptive and expressive vocabulary in 8-16 month-old children with cleft lip and palate as a predictor of development in other language areas. Materials: The MacArthur-Bat...

There is number of researches on the lip reading. However, there is little discussion about which face model is effect for lip reading. This paper builds various face models which changes the combination of a face part, and changes the feature points. Various experiments were conducted on the conditions which change only model and do not change other algorithms. We apply the active appearance m...

Lip-Reading has been practiced over centuries for teaching deaf and dumb to speak and communicate effectively with the other people. In this study, the use of neural networks in lip reading is explored. We convert the video of the subject speaking different words into images and then images are further selected manually for processing. As per the research the horizontal and the vertical distanc...

This thesis is about improving machine lip-reading, that is, the classification of speech from only visual cues of a speaker. Machine lip-reading is a niche research problem in both areas of speech processing and computer vision. Current challenges for machine lip-reading fall into two groups: the content of the video, such as the rate at which a person is speaking or; the parameters of the vid...

Our aim is to recognise the words being spoken by a talking face, given only the video but not the audio. Existing works in this area have focussed on trying to recognise a small number of utterances in controlled environments (e.g. digits and alphabets), partially due to the shortage of suitable datasets. We make two novel contributions: first, we develop a pipeline for fully automated large-s...

The audio and video Synchronization is extremely necessary. The synchronization loss between image and sound continues to disturb observers and irritate telecasters. The demand is to assure synchronization without adjusting content at the same time as still retaining price low. The objective of the synchronization is to line up both the audio and video signals that are processed individually. T...

Student of Computer Science Engineering, Lingaya’s Institute of Mgt. & Tech., Faridabad, 121002 India †† Student of Computer Science Engineering, Lingaya’s Institute of Mgt. & Tech., Faridabad, 121002 India ††† Student of Computer Science Engineering, Lingaya’s Institute of Mgt. & Tech., Faridabad, 121002 India Faculty of Computer Science Engineering, Lingaya’s University, Faridabad, 121002 Ind...

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...