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Speech Recognition Using Stochastic Approach: A Review

Keywords: Automatic Speech Recognition (ASR) , Hidden Markov Model (HMM) , Feature Extraction Algorithms , Stochastic Approach

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Abstract:

In today’s world, Speech Recognition is very important and popular. Automatic Speech Recognition System consists of three phases: Preprocessing, Feature Extraction and Recognition. Speech recognition is the process of converting spoken words into text. In case of speech recognition the research followers are mainly using three different approaches namely Acoustic phonetic approach, Pattern recognition approach and Artificial intelligence approach. The main goal of this paper is to discuss the various techniques of speech recognition and study Hidden Markov Model of stochastic approach to develop voice based, user friendly interface software system.

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