Detection of redundant frame in audio visual speech recognition using low level analysis

Audio visual speech recognition (AVSR) is a technique that uses image processing capabilities in lip reading to aid speech recognition systems in recognizing un-deterministic phones or giving preponderance among near probability decisions where as an lipreading is a technique of understanding speech by visually interpreting the movements of the lips, face and tongue with information provided by the context, language, and any residual hearing. This paper represents method of identifying redundant frames from audio visual data for audio visual speech recognition by low level analysis. Results presented in paper depict the necessity of distinct frame for feature extraction so that efficacy of the recognition system will be improved.