Speech recognition using Hidden Markov model

Abstract

Hidden Markov Models (HMMs) are widely used in pattern recognition applications, most notably speech recognition. Speech samples are recorded using a wave surfer tool. Wave surfer is a simple but powerful interface. The sound can be visualized and analyzed in several ways with the help of this tool. The recorded signal (test data) is compared with the original signal (trained data) using Hidden Markov Model algorithms. This speech recognition is simulated in Matlab.