A　combined　wideband　speech　enhancement　method　based　on　statistical　model　and　empirical　mode　decomposition　(EMD)　was　proposed.　First,　statistical　model　was　used　to　eliminate　the　main　noise　component　in　noisy　speech.　Then,　the　residual　noise　was　further　suppressed　by　a　post-processing　module　which　is　a　speech　enhancement　algorithm　with　voice　activity　detection　(VAD)　based　on　EMD.　The　advantages　of　the　two　methods　were　combined　effectively.　The　performance　of　the　proposed　method　was　evaluated　under　the　standard　of　ITU-T　G160.　The　experimental　results　indicate　that　the　algorithm　is　more　effective　for　improving　the　SNR　in　the　different　noise　environments　than　classical　statistical　model　approach.　Meanwhile,　in　low　SNR　conditions,　musical　noise　is　reduced　effectively,　and　the　speech　sounds　more　comfortable.