中文摘要：

针对短时TEO能量算法抗噪性差的缺点，提出了一种强噪声下的端点检测新算法．该算法在短时TEO能量端点检测的基础上，增加Mel倒谱距离判断环节，采用先粗判后精判的互补性两级判决机制．首先利用强抗噪性Mel倒谱距离进行端点粗判，然后再利用体现语音信号时域特征与语音共振峰特性的短时TEO能量进行端点精判．实验表明，在信噪比相对较低的环境下，该改进算法与传统的双门限法和短时TEO能量相比，在没有增加运算复杂度的同时提高了检测系统的准确度．

英文摘要：

In order to solve the problem of the poor anti-noise performance, this paper proposes a new voice detection algorithm in noisy environment. On the basis of short-time TEO energy voice detection, increasing the judging section Mel Cepstral distance, we use two-stage decision mechanism with accurate judgment after rough judgment. First, we judge the voice endpoints preliminarily using Mel Cepstral distance which has a good anti-noise performance. Then, we judge the endpoints accurately using short-time TEO energy which reflects time-domain and voice forrnant characteristics of the speech signal. Experiments show that this algorithm has better capability in low SNR, compared with the traditional double thresholds and short-time TEO energy, without increasing the computational complexity and improving the accuracy of the detection system.