Recognition of Isolated Speech Signals using Simplified Statistical Parameters

被引：0

作者：

Mitra, Abhijit ^{[1
]}

Mitra, Bhargav Kumar ^{[1
]}

Chatterjee, Biswajoy ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect & Commun Engn, Gauhati 781039, N Guwahati, India

来源：

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 8 | 2005年 / 8卷

关键词：

Isolated speech signals; Block overlapping technique; Positive peaks; Histogram analysis;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We present a novel scheme to recognize isolated speech signals using certain statistical parameters derived from those signals. The determination of the statistical estimates is based on extracted signal information rather than the original signal information in order to reduce the computational complexity. Subtle details of these estimates, after extracting the speech signal from ambience noise, are first exploited to segregate the polysyllabic words from the monosyllabic ones. Precise recognition of each distinct word is then carried out by analyzing the histogram, obtained from these information.

引用

页码：151 / 154

页数：4

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