In　this　paper,　we　present　a　novel　codebook-driven　speech　enhancement　method,　which　applies　speech　harmonic　structure.　Our　algorithm　is　able　to　remove　more　residual　noise　in　harmonic　bands　because　we　combine　speech　harmonic　structure　and　codebook.　Firstly,　we　utilize　the　speech　harmonic　structure　to　estimate　prior　speech　presence　probability.　Then　we　use　it　to　appraise　the　noise　autoregressive　(AR)　spectral　shapes　for　speech　enhancement　application.　In　addition,　the　prior　speech　presence　probability　is　also　used　to　modify　the　Wiener　filter.　Finally,　by　combining　the　clean　speech　AR　spectral　shape　codebook,　we　can　build　the　modified　Wiener　filter　to　acquire　enhanced　speech　signal.　Comparing　with　conventional　codebook-driven　method,　the　experiments　derived　from　four　typical　noises　show　that　the　proposed　algorithm　is　able　to　achieve　a　better　performance.