中文摘要：

为了能在无噪音环境下准确地检测语音信号的端点，传统的方法是使用过零方法检测清音，短时能量方法检测浊音．两者相结合便实现了端点检测。通过对语音信号在时频平面中分布的研究，提出了一种基于匹配追踪时频原子分解算法的端点检测方法。该方法利用匹配追踪算法对信号进行分解，使得信号在时频平面上具有较直观明显的魏格纳能量分布．利用这个特点设置一个门限值再进行端点检测，便能准确检测出语音信号端点。实验结果表明，和传统的方法相对比．因为涉及到了信号的分解，所以实时性较差，且门限问题还有待深入研究，但该方法能更加准确地检测出语音信号的端点．亦为端点检测问题提供了一种新的思维方法。

英文摘要：

An algorithm of speech detection suit decomposition is proposed. With in the time-frequency domain based on matching pursuits, decomposed time-frequency matching purenergy of the signal has a clear distribution in the time-frequency domain. Using this characteristic, the endpoint can be differentiated by setting a threshold value. Compared with the conventional method that uses zero crossing ratio to detect surd and short-time energy to detect sonant, although the real-time capability is inferior to the conventional method, the endpoint can be detected accurately. The accuracy is much better than the conventional method in an environment without noise.