Abstract
Voice is a signal of infinite information. Digital processing of speech signal is very important for high and precise automatic voice recognition technology. Speech recognition has found its application on various aspects of our daily lives from automatic phone answering service to dictating text and issuing voice commands to computers. In this paper, we present the steps involved in the design of a speaker-independent speech recognition system for Marathi Language. We focus mainly on the pre-processing stage that extracts salient features of a speech signal and a technique called Dynamic Time Warping commonly used to compare the feature vectors of speech signals. These techniques are applied for recognition of isolated as well as connected words spoken. In his case the experiment is conducted in MATLAB to verify these techniques. Keywordsextraction; feature matching, Linear predicted coefficient (LPC) , Dynamic Time Wrapping(DTW). Speech Recognition System (SRS), Fast Fourier transform, Marathi Language Speech Recognition System (MLSRS)
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