强背景噪声下语音端点检测的算法研究  

Research on speech endpoint detection in strong noise

作　　者：吴边[1] 王忠[2] 刘兴涛[2] 

机构地区：[1]四川大学计算机学院,成都610065 [2]四川大学电气信息学院,成都610065

出　　处：《计算机工程与应用》2011年第33期137-139,共3页Computer Engineering and Applications

基　　金：国家自然科学基金(No.49901013);中国博士后基金资助项目(No.200538615)~~

摘　　要：多带谱熵法对语音频段进行分带处理形成新的分带谱熵函数,在低信噪比时,该方法能够更好地检测出语音,还能体现能量分布情况,应用较为广泛。多窗谱分析方法对同一数据序列用多个正交的数据窗分别求直接谱,是一种低方差、高分辨率的谱分析方法,尤其适合非线性系统中高噪声背景下弱信号、时频演变信号的分析。提出基于多窗谱及多带谱相结合的语音检测方法,仿真结果表明:改进算法较其他算法占有绝对的优势,而且性能稳定。The multi-band entropy estimation divides the speech band into a few separate parts to form new spectral entro-py functions.It is widely used as it can detect the speech signal excellently when the SNR is low,besides,it can reflect the distribution of energy.The multitaper spectrum method is a low-variance,high-resolution spectrum analysis method which weights the signal with several orthogonal data windows,and it is particularly well-suited for the diagnosis analysis of weak signals with a time-depended amplitude and frequency against a high-noise background.The speech endpoint detection is pro-posed based on the combination of multitaper spectrum with multi-band entropy estimation.The simulation results show that this improved algorithm has an absolute advantage over other algorithms,and its performance is always stable.

关 键 词：语音端点检测 谱熵 多带谱熵 多窗谱估计 

分 类 号：TN912.35[电子电信—通信与信息系统]