Multiple　sound　sources　localization　is　a　hot　topic　in　audio　signal　processing　as　it　can　provide　effective　information　for　parameter　coding　and　reconstruction　of　sound　scenes.　In　this　paper,　a　multiple　sound　sources　localization　method　is　proposed　by　using　statistical　source　component　equalization.　Based　on　single　source　zone　(SSZ)　detection,　the　proposed　method　aims　to　settle　the　localization　accuracy　degradation　problem　caused　by　the　missed　detection　of　statistically　weak　source　(SWS)　which　is　inevitable　in　the　sound　scene　where　more　than　five　sound　sources　occur　simultaneously.　Since　SWSs　only　have　little　DOA　estimations　compared　with　other　sound　sources　called　statistically　dominant　source　(SDS),　they　are　difficult　to　be　found　in　the　histogram　of　DOA　estimations.　A　statistical　source　component　equalization　algorithm　is　designed　to　remove　the　components　of　SDSs　and　reserve　the　components　of　SWSs　at　the　same　time,　which　can　make　the　SWSs　obvious　enough　to　be　found　through　postprocessing.　The　objective　evaluation　reveals　that　the　proposed　method　can　always　obtain　a　comparable　or　better　localization　results　than　traditional　SSZ-based　method.　©　2019　Association　for　Computing　Machinery.