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Bengali Segmented automated speech recognition

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dc.contributor.advisor Khan, Mumit
dc.contributor.author Hoque, A.K.M. Mahmudul
dc.date.accessioned 2010-09-14T09:25:31Z
dc.date.available 2010-09-14T09:25:31Z
dc.date.copyright 2006
dc.date.issued 2006-05
dc.identifier.other ID 02101035
dc.identifier.uri http://hdl.handle.net/10361/65
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 42).
dc.description.abstract Speech recognition and understanding of spontaneous speech have been an elusive goal of research since 1970. For understanding speech human not only consider for information passed to the ears but also judge the information by the context of the information. That’s why human can easily understand the spoken language convey to them even in noisy environment. Recognizing speech by machine is so difficult for the dynamic characteristics of spoken languages. People used different approaches for automated speech recognition system. For recognizing speech people always prefer English as most of the research and implemented for them. So I am intended to have my research on Speech Recognition system but preferably in our mother tongue –Bengali. It is an area where a lot to contribute for our language to establish in computer field. The contribution of this thesis is to show how to build a speech recognizer using HTK toolkit which can recognize Bengali words. Bengali speech recognizer is built by training the HTK toolkit and can recognize any word in the dictionary. After acoustic analysis of speech signal waves the words are recognized. Technically this thesis presents training the toolkit and builds a segmented speech recognizer of Bengali. Finally the thesis contains the training procedure of the toolkit, how people can build a recognizer with the HTK toolkit. en_US
dc.description.statementofresponsibility A.K.M. Mahmudul Hoque
dc.format.extent 42 pages
dc.language.iso en
dc.publisher BRAC University en_US
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Computer science and engineering
dc.title Bengali Segmented automated speech recognition en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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