Implementation of ZCR and STE techniques for the detection of the voiced and unvoiced signals in Continuous Punjabi Speech
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 6
Abstract
During the analysis of speech signals the evaluation of the basic characteristics of the speech is an important stage. The basic characteristics of speech are voiced, unvoiced and silence. Such characteristics are evaluated by calculating zero crossing rate (ZCR) and short term energy (STE). The speech segmentation system needs a speech signal to be segmented into some basic units like words, phonemes, syllables. In this paper some of the steps required for the feature extraction in case of automatic segmentation of speech are discussed. There are various characteristics of speech such as: voiced, unvoiced and silence. Such basic characteristics of the speech can be evaluated by the computation of zero crossing rate and short term energy.
Authors and Affiliations
Anu Priya Sharma
Keywords
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