Human　auditory　system　is　one　of　the　most　efficient　and　important　biological　system　for　human　beings.　To　reproduce　this　system　with　electronic　devices　would　profoundly　advance　artificial　nervous　system.　However,　emulating　this　system　requires　a　complex　architecture　to　mimic　the　biological　auditory　system　functions　such　as　listening,　analyzing,　and　integrating　instructions,　which　is　still　not　available.　Here,　we　report　a　triboelectric　nanogenerator　(TENG)　actuated　self-powered　artificial　auditory　pathway　to　emulate　the　biological　auditory　functionalities,　demonstrating　its　application　in　the　intelligent　neuromorphic　computing　and　sound　detection.　The　self-powered　artificial　auditory　pathway　consists　of　a　femtosecond　laser　(fs)　processed　TENG　and　a　field　effect　synaptic　transistor　(FEST)　which　functions　as　acoustic　receptor　and　acoustic　synapse,　respectively.　Moreover,　the　fs　laser-induced　auditory　TENG　exhibits　broader　frequency　response　with　high　sensitivity　(129　mV/dB),　and　excellent　empathy　social　behavior,　and　various　typical　synaptic　functions　can　be　well　mimicked　through　TENG　actuated　FEST.　Meanwhile,　a　self-adaptation　artificial　neuromorphic　circuit　with　noise-adjustable　behavior　is　demonstrated,　which　substantially　improves　the　efficiency　and　accuracy　of　the　instruction　recognition　process　for　more　human-computer　interaction　system.　This　work　provides　an　effective　way　to　well　mimic　the　biological　auditory　functions,　which　paves　a　new　way　to　achieve　the　instruction　recognition　in　a　noise-intensity　range　ambient,　and　would　profoundly　decrease　the　power-consumption　in　the　field　of　future　neuromorphic　systems.　©　2020