This　paper　provides　an　improved　codebook-based　speech　enhancement　method　using　multi-band　excitation　(MBE)　model.　It　aims　to　remove　the　noise　between　the　harmonics,　which　may　exist　in　codebook-based　enhanced　speech.　In　general,　the　proposed　system　is　based　on　analysis-with　synthesis　(AwS)　framework.　During　the　analysis　stage,　acoustic　features　are　extracted　including　pitch,　harmonic　magnitude　and　voicing　from　noisy　speech.　These　parameters　are　obtained　on　the　basis　of　the　spectral　magnitudes　obtained　by　codebook-based　method.　During　the　synthesis　stage,　different　synthesis　strategies　for　voiced　and　unvoiced　speech　are　employed.　Besides,　this　paper　introduces　speech　presence　probability　to　modify　the　codebook-based　Wiener　filter　so　that　more　accurate　acoustic　parameters　can　be　obtained.　The　proposed　system　can　eliminate　noise　not　only　between　the　harmonics,　but　also　in　the　silent　segments,　especially　in　low　SNR　noise　environment.　Experiments　show　that,　the　performance　of　the　proposed　method　is　better　than　traditional　codebook-based　method　for　different　types　of　noise.