Speech Recognition Using Zero-Crossing Features

被引：4

作者：

Aye, Yin Yin ^{[1
]}

机构：

[1] Mandalay Technol Univ, Dept Engn Phys, Mandalay 05052, Myanmar

来源：

ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS | 2009年

关键词：

Zero-crossing rate (ZCR); short-time signal energy; voiced and unvoiced speech;

D O I：

10.1109/ICECT.2009.142

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Voice recognition system is very useful in several areas of computer science and mathematics. In this paper, text-dependent speaker identification method is used. This system contains training phase, testing phase and recognition phase. In the training phase, the feature word spoken is extracted. During the testing phase, feature matching takes place. The feature that extracted is stored in the database. During the recognition phase, the features are extracted by the same techniques and are compared with the template ill the database. In this thesis, the feature of the extraction takes place by Zero-crossing features.

引用

页码：689 / 692

页数：4

共 50 条

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EWING, GD
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