Abstract: The facial expression animation,as a component of the speech driven facial animation,plays a very important role in enhancing the verisimilitude of facial animation.However,previous works haven't quantitatively analyzed the correlations between facial expression motion and speech.In this paper,we adopt canonical correlation analysis(CCA) to quantitatively analyze the correlations between facial expression motion and speech,and reach the intuitive and quantitative conclusions.First,we calculate the CCA between facial expression motion and speech to measure their degree of correlation.Then we analyze the Canonical Loadings,Canonical Cross Loadings and other analysis data between facial expression motion and speech,find out the specific internal relations and draw the intuitive and quantitative conclusions.Finally,we verify the stability of the conclusions.The analysis result shows that the two are strongly correlated and reveals the specific internal relations between the components of facial expression motion and the acoustic features.This article can be used as theoretical reference and judging criterion for speech driven facial animation technique.