Speech　enhancement　is　a　vital　technology　for　reducing　the　noise　in　speech　communication.　Most　speech　enhancement　methods　only　estimate　magnitude　spectrum　of　clean　speech　from　noisy　speech　and　combine　noisy　phase　spectrum　to　recover　the　enhanced　speech.　In　this　paper,　considering　the　importance　of　recovering　the　phase　of　clean　speech　in　speech　enhancement,　a　phase　recovery　method　of　speech　is　proposed　by　combining　phase　unwrapping　and　deep　neural　network　(DNN).　By　integrating　the　recovered　phase　of　clean　speech　into　conventional　magnitude　enhancement　methods,　the　performance　is　improved　effectively.　The　verification　is　conducted　by　several　types　of　noises　at　different　signal-to-noise　ratio　(SNR)　levels.　The　experimental　results　also　confirmed　that　the　recovered　phase　of　clean　speech　resulted　in　an　obvious　improvement　on　the　speech　quality　and　intelligibility　compared　to　the　noisy　phase.　©　2019　IEEE.