There　has　been　a　large　amount　of　research　on　speech　driven　face　animation.　Particularly,　recently　research　efforts　have　been　demonstrated　that　the　Hidden　Markov　Model　techniques　could　achieve　a　high　level　of　success　in　the　filed　of　audio/visual　mapping　without　language　information.　In　this　paper,　firstly　a　linear　model　based　facial　representation　method　was　applied,　which　extract　face　feature　as　a　global　feature.　Secondly　a　HMM　based　method　was　presented,　which　include　a　two-level　frame　to　promote　the　audio-visual　mapping　result.