Bangla Automatic Phoneme Recognition

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dc.contributor.authorShweta, Shrobana Barai
dc.contributor.authorParvin, Irine
dc.contributor.authorLiza, Nasrin Jahan
dc.contributor.authorSaida, Aziza Tun
dc.date.accessioned2018-05-30T04:11:37Z
dc.date.available2018-05-30T04:11:37Z
dc.date.issued2018-05-27
dc.description.abstractSpeech recognition is now known a most challenging problem. People are trying to use speech recognition in so many applications to make their work easier. In Bengali language there are so many varieties in pronunciation. They talk in their regional language. In our thesis work we have tried to work with these different languages of Bangla. We took their voice recordings and made experiments. We have tried to convert the recordings into text. To recognize the device with the language we tried our level best. Here we used MFCC inputted to the HMM based classifier for getting Phoneme recognition performance.en_US
dc.identifier.urihttp://dspace.uiu.ac.bd/handle/52243/250
dc.language.isoenen_US
dc.publisherUnited International Universityen_US
dc.subjectSpeech recognitionen_US
dc.subjectBengali languageen_US
dc.subjectpronunciationen_US
dc.titleBangla Automatic Phoneme Recognitionen_US
dc.typeThesisen_US

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