A major problem in isolated-word speech recognition systems is detection of the beginning and ending boundaries of the word. It is an essential of speech recognition algorithms, where signal speech segments should be reliably separated. During speech recognition background noise is also recorded, hence the word isolation is difficult. The parametric representation of the speech must provide enough information to characterize the words and to differentiate between acoustically similar words. In this paper the method of words extraction from human speech will be considered.
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