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 formant 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.