A syllable segmentation algorithm with the logarithmic envelope feature of Chinese speech is proposed to improve the segmentation effect of existing continuous Chinese syllable segmentation algorithms in noisy environment. The voice envelope is obtained by curve interpolation, and then the logarithmic time-domain envelope is obtained by filtering and logarithmic operation. Extreme points are obtained with the threshold judgment. Finally, the syllable segmentation boundary is determined according to the distribution of extreme points. The proposed algorithm is more effective than traditional ones for syllable segmentation of Chinese speech without noises, and still has a high segmentation accuracy at low signal-to-noise ratio.