文章基本信息

标题：Automatic Identification of Silence, Unvoiced and Voiced Chunks in Speech
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作者：Poonam Sharma ; Abha Kiran Rajpoot
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2013
卷号：3
期号：5
页码：87-96
DOI：10.5121/csit.2013.3509
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The objective of this work is to automatically segment the speech signal into silence, voiced and unvoiced regions which are very beneficial in increasing the accuracy and performance of recognition systems. Proposed algorithm is based on three important characteristics of speech signal namely Zero Crossing Rate, Short Time Energy and Fundamental Frequency. The performance of the proposed algorithm is evaluated using the data collected from four different speakers and an overall accuracy of 96.61 % is achieved
关键词：Zero Crossing Rate; Short Time Energy; Fundamental Frequency; Cepstrum