Kathana - fluent speech recognition system based on hidden markov model for Sinhala language

Abstract

This paper discusses speech recognition based on Hidden Markov Model for Sinhala language. There are two main speech technology concepts in this scenario as speech synthesis and speech recognition. Speech synthesis is the artificial production of human speech. Speech recognition is the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words. This paper is based on KATHANA speech recognition system where the intention is to develop a system which is capable of converting human speech done in Sinhalese to text/ command.