计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (23): 191-193.

• 工程与应用 • 上一篇    下一篇

一种多小波滤波器在基音周期提取中的应用

王修信1,2,徐国钰3,胡维平3,梁冬冬3,卢小春1,王 强1   

  1. 1.广西师范大学 计算机科学与信息工程学院,广西 桂林 541004
    2.北京师范大学 地理学与遥感科学学院 遥感与地理信息系统研究中心,北京 100875
    3.广西师范大学 物理与电子工程学院,广西 桂林 541004
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-08-11 发布日期:2007-08-11
  • 通讯作者: 王修信

Application of multiwavelet filter to pitch period detection

WANG Xiu-xin1,2,XU Guo-yu3,HU Wei-ping3,LIANG Dong-dong3,LU Xiao-chun1,WANG Qiang1   

  1. 1.College of Computer Science and Information Technology,Guangxi Normal University,Guilin,Guangxi 541004,China
    2.Research Center for Remote Sensing and GIS,School of Geography,Beijing Normal University,Beijing 100875,China
    3.College of Physics and Electronics,Guangxi Normal University,Guilin,Guangxi 541004,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-08-11 Published:2007-08-11
  • Contact: WANG Xiu-xin

摘要: 基音周期是嗓音信号的重要特征参数之一,它在病态嗓音医学临床检测中有广泛的应用。推导了一组双正交多小波滤波器,提出了多小波滤波器与自相关结合的基音周期检测方法,构造了包含汉语拼音6个元音的短语句,利用多小波滤波器从语音信号中提取低频信号,再使用自相关法检测语音信号基音周期。结果表明,该方法提取基音周期具有正确率较高、准确率较高和抗噪性较强的特点,在不同噪声环境下均优于自相关法、单小波与自相关法相结合的方法,尤其在较大噪声干扰下该方法具有明显的抗噪能力,不受语音信号非平稳特性的影响,可以有效地提取病态嗓音的基音周期。

关键词: 基音周期检测, 多小波滤波器, 自相关法

Abstract: Pitch period is one of the important characteristic factors with the voice signals.It is often used to detect pathological voices in the clinic.Therefore first the biorthogonal multiwavelet filter was constructed.Multiwavelet filter with autocorrelation was proposed to detect pitch period in speech signals.The short sentence including six Chinese phonetic vowels was introduced.Then the low-frequency signal was separated from the speech signals with the multiwavelet filter.Finally,the pitch period was detected with autocorrelation.The result indicates the method has high correctness,high accuracy,and high anti-noise in tracking pitch period.It is more effective than autocorrelation and single wavelet with autocorrelation under the circumstances of the various noises.Especially in the circumstances of the high noise it has clear anti-noise ability.It isn’t affected by the non-stationary characteristics of the speech signals.It can be used to detect the pitch period from pathological voices effectively.

Key words: pitch period detection, multi-wavelet filter, autocorrelation