@article{MAKHILLAJIT2006515047,
    title = {Integrating Language Independent Segmentation and Language Dependent Phoneme Based Modeling for Tamil Speech Recognition System},
    journal = {Asian Journal of Information Technology},
    volume = {5},
    number = {1},
    pages = {38-43},
    year = {2006},
    issn = {1682-3915},
    doi = {ajit.2006.38.43},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2006.38.43},
    author = {Saraswathi, S,T.V. Geetha and},
    keywords = {Language modeling,perceptual linear predictive coding,phoneme segmentation,speech recognition},
    abstract = {This study describes the work done in performing speech recognition for Tamil language, using a new approach of text independent speech segmentation, with a phoneme based language modeling. A performance improvement in the recognition is possible by combining the results of segmented phoneme sequence with phoneme based language model. The results are promising since the method gives a 75.8% of correct segmentation and better word recognition rate for Tamil language.}
    }