ISOLATED WORD SPEECH RECOGNITION SYSTEM USING DYNAMIC TIME WARPING

Abstract

Speech recognition is a multileveled pattern recognition task, in which acoustical signals are examined and structured into a hierarchy of sub word units (e.g., phonemes), words,phrases, and sentences. Each level may provide additional temporal constraints, e.g., known word pronunciations or legal word sequences, which can compensate for errors or uncertainties at lower levels. This hierarchy of constraints can best be exploited by combining decisions probabilistically at all lower levels, and making discrete decisions only at the highest level.Dynamic time warping is a unessential concept used primarily for applications where low computation is required. The paper describes a system based on dynamic programming concept[1]. The software was built using Mat lab 8.01.