A General Approach for Amharic SPEECH-TO-TEXT Recognition

dc.contributor.advisorMeshesha, Million (PhD)
dc.contributor.authorMelese, Michael
dc.date.accessioned2018-11-27T12:33:40Z
dc.date.accessioned2023-11-29T04:56:51Z
dc.date.available2018-11-27T12:33:40Z
dc.date.available2023-11-29T04:56:51Z
dc.date.issued2009-10
dc.description.abstractIn this paper, the researcher has tried to investigate the capability of exploring speech recognition technique for converting an Amharic speech to text taking native and non native speaker of the language Amharic. For this, Hidden Markov Model (HMM) is used as a model along with the tool Hidden Markov Modeling Toolkit (HTK) to implement and get the desired result out of the training. In the development process, a total of four hundred sentences are used for the training and hundred data sets which are not included in the training set are used for testing the performance of the speech recognizer. The primary data has been collected from four different ethnic groups that could not speak out Amharic as a mother tongue and one from the mother tongue, with an input of hundred records from each group and secondary data from the previous researcher. Then, the primary data has been labeled, preprocessed, trained and realigned as per the requirement of the HTK for the purpose of training and testing the models. During the experiment process, a lot of challenging issue pointed out which makes the researcher to draw attention in order to confront the problems that suspend the success from attainment to the point of end. As a final point, through all this complication, the existence of the research comes to the end provided the constraint the result obtained is promising and serve as a proof that it is possible to build general speech recognition technique that convert an Amharic SPEECHTO- TEXT using HMM. Once the experiment is completed and result obtained, analysis on the result is forwarded through the justification that are supported by different researcher in addition to the comparison of the result obtained. As a final point, conclusion and recommendation are forwarded for the upcoming research area in the field.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/14558
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectAmharic SPEECH-TO-TEXTen_US
dc.titleA General Approach for Amharic SPEECH-TO-TEXT Recognitionen_US
dc.typeThesisen_US

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