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A Study on the Simple Algorithm for Discrimination of Voiced Sounds  

장규철 (한국과학기술원 전자전산학과)
우수영 (한국과학기술원 전자전산학과)
박용규 (한국과학기술원 전자전산학과)
유창동 (한국과학기술원 전자전산학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.21, no.8, 2002 , pp. 727-734 More about this Journal
Abstract
A simple algorithm for discriminating voiced sounds in a speech is proposed in this paper. In addition to low-frequency energy and zero-crossing rate (ZCR), both of which have been widely used in the past for identifying voiced sounds, the proposed algorithm incorporates pitch variation to improve the discrimination rate. Based on TIMIT corpus, evaluation result shows an improvement of 13% in the discrimination of voiced phonemes over that of the traditional algorithm using only energy and ZCR.
Keywords
Voiced sound discrimination; Pitch Variation;
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  • Reference
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