In this paper, we analyze the influence of temporal asyn- chrony on the subjective quality of stereoscopic video. Based on our recently created 3D video database, different levels of asynchrony were simulated and a comprehensive subjective test was conducted to determine the associated degrada- tions in quality of experience. Furthermore, we developed a method to detect asynchrony between left and right video streams based on canonical correlation analysis. Experiments demonstrate the robustness of this method with respect to different amounts of asynchrony and scene depth, which makes it suitable to predict quality of experience or automatic resynchronization.