Penerapan Hidden Markov Model untuk Pengenalan Ucapan

Abstract

ABSTRACT Speech recognition is a process that is done the computer to recognize words spoken by a person without regard to the identity of persons.The words will be transformed into digital signals by converting sound waves into a set of numbers and then adjusted with certain codes and matched with a pattern stored in a device. In this paper discussed about how speech recognition using hidden Markov Model (HMM). HMM is a statistical model of a system that is assumed to be a Markov process with parameters that are unknown and has accuracy in voice identification. The result of the identification of the spoken word can be displayed in written form or can be read by the device technology, which uses software Microsoft Speech Application Programming Interface. Keywords: Speech Recognition, Hidden Markov Model, Microsoft Speech Application Programming Interface