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dc.contributor.advisor Karunarathne, I
dc.contributor.author Asiri, RMDT
dc.date.accessioned 2019-03-15T02:29:56Z
dc.date.available 2019-03-15T02:29:56Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/14041
dc.description.abstract There is growing tendency in the human computer interaction activities especially within last decade with smart world. Day by day lot ofsmart options are coming to the market which has more powerful human computer interactive options. With this kind of an environment speech recognition is also became very vast and interested research area among modem computer researches. When we considering speech recognition there are lot of smart applications even in smart phones are available all around the world right now, but major problem ofthose application are the accuracy and the localization. Especially considering a language like Sinhala, current industry doesn’t have much accurate of efficient recognition system to cater with. This research is basically focuses on how to identify user audio signals in Sinhala language and how to convert them in to text. Speech recognition becomes very popular research topic with the highly incremental human computer interactions today. Most of the popular or vastly using languages are already have well developed speech recognition systems, but as mentioned earlier languages like Sinhala it is very rare, but for Sri Lanka it is very useful to have a recognition system. Ceylon Electricity Board (CEB) is the sole agent to generate and distribute electricity power within the Sri Lanka. So it has several call centers running around the country to get customer feedbacks especially regarding power failures. Recently CEB management came with an idea to employ some disable (blind) people to those call centers to collect customer complains thru telephone line and log them into a call center web application and then that application will process those complains to forward to correct maintenance party to attend to the problem quickly as possible. In order to get the input first idea was to use a brail keyboard; same time management has an idea to get the input thru a microphone. But that audio input needs to be in Sinhala language. So now our problem is to develop good speech recognition for Sinhala language to identify those vocal signals. As part of solution to the above mention problem, this research is conducting to create well trained Sinhala identification system. In this phase research is focus only to identify digit’s vocal inputs created using Sinhala language. Than can be used to identify customer according to his/her electricity account number. Once that is done call center application can validate the customer using customer billing database. en_US
dc.language.iso en en_US
dc.title Speech recognition research for recognize digits in sinhala en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree Master of Science in information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2016-04
dc.identifier.accno TH3161 en_US


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