Amr M. Refat

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This paper represents a way for the detection of start-end boundaries of a speech segment in the presence of noise using wavelet transform. The technique is based on generating a certain mathematical function derived from the wavelet parameters that can keep track with the energy changes along the speech duration. The problem in end points detection always(More)
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