In　this　paper,　a　single　channel　speech　enhancement　method　is　proposed　by　constructing　a　priori　binaural　cue　codebook　of　speech　and　noise　based　on　binaural　cue　coding　principle.　Firstly,　as　a　priori　information,　the　binaural　cues　of　speech　and　noise　are　offline　trained　to　form　a　priori　codebook.　Then,　the　weighted　codebook　mapping　(WCBM)　algorithm　is　used　to　estimate　the　clean　cue.　At　last,　the　noisy　speech　is　enhanced　with　binaural　cue　coding　(BCC)　model.　Moreover,　an　estimation　method　of　the　clean　cue　is　proposed　for　further　improving　performance　based　on　deep　neural　network,　namely　stacked　auto-encoders　(SAE),　instead　of　WCBM　algorithm.　Objective　test　results　show　that　the　proposed　method　is　superior　to　the　reference　methods.　©　2019,　Chinese　Institute　of　Electronics.　All　right　reserved.