中文说明：关于端点检测的几种方法，语音样本是自己录制的，对传统算法做了一些改进，加入了去噪，去噪之后再进行端点检测，均调通 vad0303：自己设置调整门限为一定值 vad0310：根据能量值和过零率设置门限，自适应门限值 vad0310_2：基于比例因子的门限自调整 vad0310.m加入了噪声，端点检测前都噪声进行了处理 entropy.m：基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测 dbdoor.m：双门限算法，用于语音端点检测。可以通过调整门限值，并加入门限自适应算法，实现语音端点检测
English Description：
Methods on the endpoint detection, speech samples is recorded, the traditional algorithm do some improvements, joined the denoising, denoising and endpoint detection, adjustable vad0303: set up their own adjustment of the threshold value for a certain vad0310: according to the energy value and zero crossing rate threshold setting, adaptive threshold value Vad0310_2 2: threshold based on the proportional factor self adjustment vad0310.m adding noise, the endpoint detection of all noise of the entropy.m: adaptive sub band spectrum entropy of the robustness of speech endpoint detection for speech enhancement and endpoint detection dbdoor.m: double threshold algorithm for speech endpoint detection based on. By adjusting the threshold value and adding the threshold adaptive algorithm, the speech endpoint detection is realized.