一种适合于宽带语音的清浊音分类算法  

Voiced/Unvoiced Classification Algorithm for Wideband Speech

作　　者：吴超[1] 杨震[1] 

机构地区：[1]南京邮电大学信号与信息处理研究所,南京210003

出　　处：《数据采集与处理》2008年第3期288-293,共6页Journal of Data Acquisition and Processing

基　　金：国家高技术研究发展"863"计划(2006AA010102)资助项目;江苏省青蓝工程基金(QL003YZ)资助项目

摘　　要：提出了一种在宽带语音(50—7 500 Hz)中进行清浊音分类的方法,该方法通过估计和跟踪信号的高频能量和低频能量提取语音信号,并针对宽带语音的特点,用特殊的高低频谱能量比和周期性水平组合参数进行清浊音分类。算法设计了一种可以在所有语音帧更新阈值的方法,在比较复杂的背景噪声条件下仍能较准确地更新阈值,从而保证清浊音分类有效进行。仿真结果表明,本文方法能准确地对宽带语音进行分类,具有一定的抗噪声性能,且算法的复杂度较低,具有一定的实用价值。A voiced/unvoiced classification algorithm is presented based on wideband speech （50--7 500 Hz）. The algorithm extracts the speech signal by tracking the high and low frequency energyies of the noised signal. Then a combination with the periodicity level and special high-to-low frequency spectrum energy ratio is used to classify the voiced/unvoiced speech frames according to the characteristic of the wideband speech. A method is designed by the algorithm for updating the threshold value, and it can update the threshold under complex background noise. The method can ensure the voiced/unvoiced classification algorithm to work efficiently. Experimental results show that the algorithm has high voiced/unvoiced classification accuracy and comparatively low complexity.

关 键 词：语音信号处理 清浊音分类 宽带语音 

分 类 号：TN912.3[电子电信—通信与信息系统]