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. |
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