Devanagari Script using Energy of Speech Signal
DOI:
https://doi.org/10.46243/jst.2021.v6.i1.pp167-171Keywords:
.Abstract
The voiced-unvoiced decision is often used in speech analysis to extract information from speech signals. Voiced and unvoiced components of speech were separated using two approaches in this study. ZCR and energy are the terms used to describe these concepts. Using the zero crossing rate and energy estimates, we were able to differentiate the voiced and unvoiced sections of the speech in this study. As a consequence of these findings, it seems that zero crossing rates for voiced and unvoiced parts are different, with the former having a higher energy level and the latter having a lower one. Because of this, they have been shown to be more adept in separating spoken and unspoken language. Devnagari script, zero crossing rate, and voice signal energy are among the key terms
References
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