The　safety　aspects　of　key　components　made　from　ferromagnetic　materials　are　directly　influenced　by　stress　and　hardness,　thus　necessitating　the　detection　and　evaluation　of　material　hardness　and　stress　state　in　the　applications　of　such　materials.　This　study　proposes　a　highly　sensitive　method　for　characterizing　mechanical　properties　(stress　and　hardness)　using　the　time-frequency　information　of　magnetic　Barkhausen　noise　(MBN)　technique.　The　MBN　amplitude　spectrum　is　obtained　using　the　Short　Time　Fourier　Transform　(STFT)　method　under　various　mechanical　conditions.　The　relationship　between　the　amplitude　spectrum　and　stress　(or　hardness)　is　analyzed　in　a　point-by-point　manner　within　the　spectrums.　A　linear　equation　is　employed　to　fit　the　dependence　of　mechanical　property　on　the　amplitude　spectrum.　Subsequently,　the　slope　of　the　linearized　equation　is　calculated　to　construct　a　sensitivity　matrix.　The　optimal　region　is　selected　based　on　the　amplitude　spectrum　region　exhibiting　high　sensitivity.　Goodness　of　fit,　rate　of　change,　and　absolute　error　are　employed　as　indicators　to　assess　the　parameters＇　capability　in　characterizing　mechanical　properties.　This　study　compares　the　time-frequency　domain　parameters　obtained　through　the　proposed　methodology　with　the　conventional　time-domain　parameters.　Time-frequency　information　of　MBN　could　play　a　valuable　role　for　the　non-destructive　evaluation　of　mechanical　properties.