In this paper a statistical method is used to remove the silence from the speech signal. This method is applied on vector quantization technique to identify the minimum speech patterns that are required while creating the training set of the speech samples. This paper also discusses the importance and efficiency of the algorithms used in vector quantization for the clustering purpose. Also speech recognition accuracies for speaker dependent and speaker independent methods have been evaluated and tabulated in the tables given below. The paper shows the importance of the statistical method analysis of the signal than the normal analysis.

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Speech Recognition Isolated Word Uncertainty Vector Quantization Euclidean Distance