Show simple item record

dc.contributor.authorSrichai, Panaithep Alberten_US
dc.date.accessioned2014-03-14T20:41:10Z
dc.date.available2014-03-14T20:41:10Z
dc.date.issued1998-09-08en_US
dc.identifier.otheretd-07072006-065007en_US
dc.identifier.urihttp://hdl.handle.net/10919/33916
dc.description.abstractThis thesis describes the implementation of a speaker dependent connected-digit recognizer using continuous Hidden Markov Modeling (HMM). The speech recognition system was implemented using MATLAB and on the ADSP-2181, a digital signal processor manufactured by Analog Devices. Linear predictive coding (LPC) analysis was first performed on a speech signal to model the characteristics of the vocal tract filter. A 7 state continuous HMM with 4 mixture density components was used to model each digit. The Viterbi reestimation method was primarily used in the training phase to obtain the parameters of the HMM. Viterbi decoding was used for the recognition phase. The system was first implemented as an isolated word recognizer. Recognition rates exceeding 99% were obtained on both the MATLAB and the ADSP-2181 implementations. For continuous word recognition, several algorithms were implemented and compared. Using MATLAB, recognition rates exceeding 90% were obtained. In addition, the algorithms were implemented on the ADSP-2181 yielding recognition rates comparable to the MATLAB implementation.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartConnectedDigitRecognizer.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectconnected-digit recognitionen_US
dc.subjectHMMen_US
dc.subjecthidden markov modelsen_US
dc.subjectspeech recognitionen_US
dc.titleImplementation of a Connected Digit Recognizer Using Continuous Hidden Markov Modelingen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
dc.contributor.committeechairBeex, A. A. Louisen_US
dc.contributor.committeememberBesieris, Ioannis M.en_US
dc.contributor.committeememberBay, John S.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07072006-065007/en_US
dc.date.sdate2006-07-07en_US
dc.date.rdate2006-10-02
dc.date.adate2006-10-02en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record