Visual speech recognition using artificial neural networking
Cataloged from PDF version of thesis.
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BRAC Univeristy
2018
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10361-101832022-01-26T10:21:44Z Visual speech recognition using artificial neural networking Sharmili, Nowshin Tasnim, Lamia Shamsuddoha, Iftekhar Ahmed, Tahsin Chakrabarty, Dr. Amitabha Department of Computer Science and Engineering, BRAC University Speech recognition Neural networking 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. 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. Nowshin Sharmili Lamia Tasnim Iftekhar Shamsuddoha Tahsin Ahmed B. Computer Science and Engineering 2018-05-21T08:09:41Z 2018-05-21T08:09:41Z 2018 8/22/2017 Thesis ID 13301030 ID 13301027 ID 13301121 ID 13301053 http://hdl.handle.net/10361/10183 en 26 pages application/pdf BRAC Univeristy |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Speech recognition Neural networking |
spellingShingle |
Speech recognition Neural networking Sharmili, Nowshin Tasnim, Lamia Shamsuddoha, Iftekhar Ahmed, Tahsin Visual speech recognition using artificial neural networking |
description |
Cataloged from PDF version of thesis. |
author2 |
Chakrabarty, Dr. Amitabha |
author_facet |
Chakrabarty, Dr. Amitabha Sharmili, Nowshin Tasnim, Lamia Shamsuddoha, Iftekhar Ahmed, Tahsin |
format |
Thesis |
author |
Sharmili, Nowshin Tasnim, Lamia Shamsuddoha, Iftekhar Ahmed, Tahsin |
author_sort |
Sharmili, Nowshin |
title |
Visual speech recognition using artificial neural networking |
title_short |
Visual speech recognition using artificial neural networking |
title_full |
Visual speech recognition using artificial neural networking |
title_fullStr |
Visual speech recognition using artificial neural networking |
title_full_unstemmed |
Visual speech recognition using artificial neural networking |
title_sort |
visual speech recognition using artificial neural networking |
publisher |
BRAC Univeristy |
publishDate |
2018 |
url |
http://hdl.handle.net/10361/10183 |
work_keys_str_mv |
AT sharmilinowshin visualspeechrecognitionusingartificialneuralnetworking AT tasnimlamia visualspeechrecognitionusingartificialneuralnetworking AT shamsuddohaiftekhar visualspeechrecognitionusingartificialneuralnetworking AT ahmedtahsin visualspeechrecognitionusingartificialneuralnetworking |
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1814309343814746112 |