In　order　to　reduce　the　influence　of　noise　and　reverberation　in　binaural　speech，and　improve　speech　quality　and　intelligibility，a　binaural　speech　enhancement　algorithm　based　on　attention　mechanism　and　improved　convolutional　recurrent　neural　network　was　proposed．In　this　algorithm，the　spectral　features　and　binaural　cues　of　binaural　speech　were　first　extracted，and　channel　attention　was　applied　to　the　spectral　features　to　obtain　reliable　spectral　features，while　reliable　binaural　cues　were　obtained　by　applying　spatial　attention　to　the　binaural　cues，then　the　two　features　were　combined　as　the　input　of　neural　network．A　neural　network　structure　that　uses　model　attention　as　a　skip　connection　for　the　encode　layer　and　decode　layer　of　convolutional　recurrent　neural　network，and　the　bidirectional　long　and　short-term　memory　network　was　used　to　obtain　time　domain　information．　Experimental　results　show　that　the　proposed　algorithm　has　better　performance　in　different　noise　and　reverberation　conditions．　©　2023　Huazhong　University　of　Science　and　Technology.　All　rights　reserved.