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.
