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基于希尔伯特-黄变换的低信噪比语音端点检测
引用本文:刘柏森,卢志茂,申丽然,金辉. 基于希尔伯特-黄变换的低信噪比语音端点检测[J]. 吉林大学学报(工学版), 2011, 41(3): 844-848
作者姓名:刘柏森  卢志茂  申丽然  金辉
作者单位:1. 哈尔滨工程大学信息与通信工程学院,哈尔滨150001;黑龙江工程学院电子工程系,哈尔滨150050
2. 哈尔滨工程大学信息与通信工程学院,哈尔滨,150001
基金项目:国家自然科学基金项目(60603092,60803087); 高等学校博士学科点专项科研基金项目(20070217043)
摘    要:应用希尔伯特-黄变换完成了一种低信噪比条件下的语言信号端点检测。该方法通过分析纯净语音信号与低信噪比下语音信号的固有模态函数及希尔伯特谱,找出固有模态函数中语音信号能量集中的分量,分析其希尔伯特谱,自适应地选取阈值进行语音段与非语音段的检测。通过对比实验表明了该方法在低信噪比下能有效地检测出语音信号。

关 键 词:信息处理技术  希尔伯特-黄变换  经验模态分解  语音检测

Voice activity detection with low signal-to-noise ratio based on Hilbert-Huang transform
LIU Bai-sen,LU Zhi-mao,SHEN Li-ran,JIN Hui. Voice activity detection with low signal-to-noise ratio based on Hilbert-Huang transform[J]. Journal of Jilin University:Eng and Technol Ed, 2011, 41(3): 844-848
Authors:LIU Bai-sen  LU Zhi-mao  SHEN Li-ran  JIN Hui
Affiliation:LIU Bai-sen1,2,LU Zhi-mao1,SHEN Li-ran1,JIN Hui1(1.School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China,2.Department of Electronic Engineering,Heilongjiang Institute of Technology,Harbin 150050,China)
Abstract:Voice activity detection plays an important role in speech signal processing.However,commonly used detection methods are not valid in low Signal-to-Noise Ratios(SNR),and the voice activity detection becomes difficult.Hilbert-Huang Transform(HHT) is a method designed for non-linear and non-stationary signals.Because of its adaptability,HHT can be used for analysis of available data.In this paper,the HHT is applied for voice activity detection under the condition of low SNR.This method finds the concentration...
Keywords:information processing technology  Hilbert-Huang transform  empirical mode decomposition  voice activity detection  
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