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In this paper, eight state-of-the-art objective speech intelligibility prediction measures are comparatively investigated for noisy signals before and after noise-reduction processing between Mandarin and Japanese. Clean speech signals (Chinese words and Japanese words) were first corrupted by three types of noise at two signal-to-noise ratios and then processed by normal-hearing listeners for recognition, whose intelligibility was subsequently predicted by objective measures. Further investigations were conducted for objective measures in predicting speech intelligibility of noise-reduced signals between subjective evaluation scores and objective prediction results, and of noisy signals before and after noise-reduction processing, in terms of correlation analysis and prediction errors. Results showed that the majority of objective measures behave differently for Mandarin and Japanese in predicting the subjective ratings, and the STOI measure consistently provided the best ability in predicting the effect on speech intelligibility of the noise-reduction processing for both Mandarin and Japanese.