In　order　to　integrate　the　characteristics　of　different　noise　reduction　algorithms,　a　wavelet　fusion　method　for　speech　enhancement　is　proposed　in　this　paper.　In　the　proposed　method,　the　noisy　speech　is　first　decomposed　into　several　sub-bands　by　wavelet　packet　analysis,　and　then　enhanced　by　the　statistical　model　based　method　and　wavelet　thresholding　method,　respectively.　The　output　of　each　sub-band　is　obtained　under　the　fusion　rule　based　on　the　cross-correlation　and　the　a　priori　SNRs　of　the　two　enhanced　coefficient　sets.　Finally,　the　enhanced　coefficients　are　transformed　back　to　time　domain　to　get　the　enhanced　speech.　The　performance　of　the　proposed　method　is　evaluated　under　ITU-T　G.160.　The　test　result　shows　that,　comparing　with　the　reference　algorithms,　the　proposed　method　produces　enhanced　speech　with　better　objective　quality,　while　the　amount　of　noise　reduction　and　SNR　improvement　remains　at　a　high　level.　The　impact　on　the　speech　level　is　kept　in　an　acceptable　range　at　the　same　time.　©　2012　IEEE.