In　this　paper,　we　propose　a　speech　enhancement　approach　integrating　codebook　and　Wiener　filtering.　Codebook-based　method　could　reserve　speech　spectrum　well,　but　leaves　a　large　amount　of　residual　noise.　Signal　to　noise　ratio　(SNR)estimation-based　Wiener　filtering　method　could　reduce　noise　well,　but　leads　to　relatively　serious　speech　distortion.　To　solve　the　problem,　the　gain　functions　of　the　above　two　methods　are　weighted　to　obtain　an　integrated　gain　function　by　utilizing　a　sigmoid　function　related　to　a　posteriori　SNR.　The　performance　tests　show　that　the　performance　of　the　proposed　approach　is　better　than　codebook-based　method　in　reducing　the　background　noise　and　SNR-estimation-based　algorithm　in　retaining　speech　spectrum.