We propose a VAD using long-term 200 ms Mel frequency band statistics, auditory masking, and pre-trained two level decision tree ensemble based classifier, which allows capturing syllable level structure of speech and discriminating it from com-mon noises. Proposed algorithm demonstrates almost 100% acceptance of clear voice for English, Chinese, Russian, and Polish speech and 100% rejection of sta-tionary noises independently of loudness