A Voice Activity Detection algorithm based on ensemble empirical mode decomposition domain statistical model is presented in this paper. The noisy speech is decomposed into Intrinsic Mode Function (IMF) components by using EEMD method. Two IMF components with the higher correlation with original speech are added to calculate statistical model characteristic parameter. The decision of the speech/noise is made by comparing characteristic parameter with threshold. The proposed VAD algorithm is tested on speech signals under various noise conditions with several SNRs. The results of experiments show that the proposed VAD algorithm outperforms some standard VAD algorithms, especially under low SNR noisy condition.