Bangla Automatic Phoneme Recognition

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    Bangla Automatic Phoneme Recognition

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    Thesis_paper_of_Bangla_Autometic_Phoneme_Recognition.PDF (891.4Kb)
    Date
    2018-05-27
    Author
    Shweta, Shrobana Barai
    Parvin, Irine
    Liza, Nasrin Jahan
    Saida, Aziza Tun
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    Abstract
    Speech 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.
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    http://dspace.uiu.ac.bd/handle/52243/250
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