The Algorithm Research of Speech Endpoint Detection and Simulated Based on the Wavelet Analysis

CHEN Bao-yuan; LIANG Wei-ming

Chinese

您当前的位置：

首页 >

文章列表页 >

The Algorithm Research of Speech Endpoint Detection and Simulated Based on the Wavelet Analysis

更新时间：2026-07-10

- The Algorithm Research of Speech Endpoint Detection and Simulated Based on the Wavelet Analysis
- Vol. 14, Issue 1, Pages: 51-54(2009)
- 作者机构：
  
  哈尔滨理工大学测控技术与通信工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN912.3
- Published：2009
- 稿件说明：
移动端阅览
CHEN Bao-yuan, LIANG Wei-ming. The Algorithm Research of Speech Endpoint Detection and Simulated Based on the Wavelet Analysis[J]. 2009, 14(1): 51-54.
DOI：

CHEN Bao-yuan, LIANG Wei-ming. The Algorithm Research of Speech Endpoint Detection and Simulated Based on the Wavelet Analysis[J]. 2009, 14(1): 51-54. DOI：

摘要

以小波变换及多分辨分析为理论基础

对语音端点检测中小波系数方差算法和子带平均能量算法进行了分析和研究

利用语音和噪声的频域差别

对这两种算法进行了优化

并应用于端点检测系统中

有效地改善了小波系数方差算法耗时长、实时性差的缺点

并克服了子带平均能量算法只对高斯白噪声检测效果好的局限性

提高了语音端点检测系统的实用性.通过MATLAB软件仿真的实验结果表明

采用优化算法的系统实现了语音端点检测准确性和快速性的最佳匹配

达到了此类检测设备的实用要求.

Abstract

This paper studies the algorithm of sub-band average-energy and the variance of the wavelet coefficients in speech endpoint detection

which were on the basis of the principle of Wavelet transform and Multi-resolution Analysis.It also optimizes the two algorithms.The proposed algorithm applied to the endpoint detection system improves the drawback of former algorithm in Long-Running and real-time badness which makes use of the variance of speech and noise in frequency characteristics.It also overcomes the li...

关键词

Keywords

references

Views

2173

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Image Fusion of PCA and Wavelet Transform in Electrical Capacitance Tomography

Basic Concepts and Model of Creative Diffusion Theory

Color Image Defogging Based on Intensity Wavelet Transform and Color Improvement

A Wavelet Image De-noising Algorithm Based on New Threshold Function

Recognition of Power Quality Disturbances Based on Support Vector Machine with Optimal Kernel-parameter

Related Author

LIU Hong-bo

YU Xiao-yang

CHEN De-yun

SHEN Yue

WANG Li-li

JU Xiao-feng

SUN Guang-lei

WANG Min

Related Institution

Harbin University of Science and Technology, School of Computer Science and Technology

Harbin University of Science and Technology, Instrument Science and Technology Postdoctoral Workstation

School of Management,Harbin Institute of Technology

Institute of Meeteorology

Department of Computer Science

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰