The goal of this project is to develop a limited lip reading algorithm for a subset of the English language. We consider a scenario in which no audio information is available. The raw video is processed and the position of the lips in each frame is extracted. We then prepare the lip data for processing and classify the lips into visemes and phonemes. Hidden Markov Models are used to predict the...

This paper develops an entire communication support system for speech handicaps using lip reading. Our system is a high level system and consists of a face detector using Viola-jones method, lip detector based on active appearance model, utterance section detector, determined phrase recognizer using DP matching, camera controller, and message output. We implemented our system in the commercial ...

The goal of this work is to determine the audio-video synchronisation between mouth motion and speech in a video. We propose a two-stream ConvNet architecture that enables the mapping between the sound and the mouth images to be trained end-to-end from unlabelled data. The trained network is used to determine the lip-sync error in a video. We apply the network to two further tasks: active speak...

In this paper, we review recent research that examines audio-visual integration in multimodal communication. The topics include bimodality in human speech, human and automated lip-reading, facial animation, lip synchronization, joint audio-video coding, and bimodal speaker verification. We also study the enabling technologies for these research topics, including automatic facial feature trackin...

Analysis of lip motions can be deployed in a variety of applications, e. g. visual speech reading or liveness verification as part of a person authentication system. When utilizing appearance-based features to describe lip shapes (visemes), robustly detecting the position of the mouth center is an inevitable part of this task. In this paper we present an algorithm for mouth localization as part...

We present a novel algorithm for the robust and reliable automatic extraction of lip feature points for speechreading. The algorithm uses a combination of colour information in the image data and knowledge about the structure of the mouth area to find certain feature points on the inner lip contour. A new confidence measure quantifying how well the feature extraction process worked is introduce...

 In this paper, we propose a facial modeling technique based on the MPEG-4 Synthetic/Natural Hybrid Coding for automating frame sequence generation of a talking head. With the definition and animation parameters on a generic face object, the shape, textures and expressions of an adapted frontal face can generally be controlled and synchronized by the phonemes transcribed from plain text. By th...

Abstract. Automatic audio-visual speech recognition systems (AVSRs) have recently achieved tremendous success, especially in limited vocabulary tasks by far surpassing human abilities to recognize speech, acoustically noisy conditions. based on processing of audio and video information are being actively researched developed all over the world. However, scientific studies aimed at analyzing inf...