In　this　paper,　a　kind　of　clipping　detection　method　for　audio　signal　is　proposed　based　on　kernel　Fisher　discriminant　(KFD)　in　MDCT　domain.　The　kernel　method　and　the　Fisher　linear　discriminant　analysis　(FLDA)　are　introduced　to　the　proposed　method.　First,　the　clipping　and　non-clipping　feature　parameters　are　extracted　using　MDCT　coefficients　of　audio　signals.　Next,　the　optimal　projection　vector　and　the　classification　threshold　are　obtained　by　training　KFD　based　on　the　extracted　feature　parameters.　Finally,　the　decision　rule　of　KFD　is　employed　to　detect　the　clipping　distortion.　The　test　results　indicate　that　the　proposed　algorithm　yields　good　clipping　detection　result,　the　performance　is　better　than　the　reference　method.　©　2013　IEEE.