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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Visual speech recognition using artificial neural networking

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    13301027,13301121,13301053,13301030_CSE.pdf (765.1Kb)
    Date
    8/22/2017
    Publisher
    BRAC Univeristy
    Author
    Sharmili, Nowshin
    Tasnim, Lamia
    Shamsuddoha, Iftekhar
    Ahmed, Tahsin
    Metadata
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    URI
    http://hdl.handle.net/10361/10183
    Abstract
    Automatic Speech Recognition plays an important role in human-computer interaction, which can be applied in various application like crime-fighting and helping the hearing-impaired consists of two domain – Audio Speech Recognition and Visual Speech Recognition. This thesis is based on Recognition of Speech in the visual domain only. This paper provides a new approach to lip reading Bengali words using a combination of the curvature of the inner and outer lips and Neural Networks. The method uses a more robust a faster algorithm to detect the lip contour than conventional methods used so far. Processing multiple frames and by collecting the contours, we can predict the Bengali words that are stored inside the database. Our thesis will mainly focus on detecting some specific Bengali words.
    Keywords
    Speech recognition; Neural networking
     
    Description
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 20-26).
     
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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