@article{MAKHILLIJSC20105120997,
    title = {A Novel Approach Integrating Geometric and Gabor Wavelet Approaches to Improvise Visual Lipreading},
    journal = {International Journal of Soft Computing},
    volume = {5},
    number = {1},
    pages = {13-18},
    year = {2010},
    issn = {1816-9503},
    doi = {ijscomp.2010.13.18},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2010.13.18},
    author = {B. and},
    keywords = {Lip reading,visual feature extraction,lip segmentation,Gabor Wavelet Transform model,Height-Width model,Ergodic Hidden Markov model},
    abstract = {Lipreading a perception of speech for listeners with hearing impairment is purely based on observing the lip movements under noisy conditions where visual speech information plays an important role. Lipreading, a visual modality which involves watching the movement of lips constitutes 1/3 of the conveyed message. This study investigates the use of two feature extraction methodologies for recognizing isolated words. The first type is based on a geometric approach which extracts the features like inner height, inner width, outer height and outer width of the lips while the second type is based on a set of Block-Based Gabor-Wavelet co-efficient extracted from each frame. Then these two features are given as input into the Ergodic Hidden Markov Model for recognizing the words.}
    }