Abstract: “The speech recognition process involves humanmachine communication via human voice. This complex process involves understanding and differentiating the basic characteristics of speech. Lot of work has been done in this regard, but we are yet to have a system with hundred percent recognition rate thus limiting uses of such a system only to noncritical applications. The task is to recognize the human voice sent to the machine via a communication media. The paper discusses some works done in the area of speech recognition. All speech recognition algorithms consider specific characteristics of speech signal resulting into better recognition rate in the recent years. However people are still looking into different aspects of speech signal to improve their rates. We focus on an aspect that is not studied much yet. The paper reports experiments conducted to verify whether the position of a word in a sentence influences the recognition rate, and if so, how and what can be done to utilize this”

Keywords: Continuous Speech, HTK, Word Position, Recognition Rate, Viterbi