Bangla Automatic Phoneme Recognition

dc.contributor.author	Shweta, Shrobana Barai
dc.contributor.author	Parvin, Irine
dc.contributor.author	Liza, Nasrin Jahan
dc.contributor.author	Saida, Aziza Tun
dc.date.accessioned	2018-05-30T04:11:37Z
dc.date.available	2018-05-30T04:11:37Z
dc.date.issued	2018-05-27
dc.identifier.uri	http://dspace.uiu.ac.bd/handle/52243/250
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	United International University	en_US
dc.subject	Speech recognition	en_US
dc.subject	Bengali language	en_US
dc.subject	pronunciation	en_US
dc.title	Bangla Automatic Phoneme Recognition	en_US
dc.type	Thesis	en_US