This study addresses the challenges of complex noise and short speech in civil aviation air-ground communication scenarios and proposes a novel speaker identification model. Chrono-ECAPA-TDNN (CET). The aim of the study is to enhance the accuracy and robustness of speaker identification in these environments. The CET model incorporates three key components: the Chrono Block module. https://sgzernyc8wz9a.timeblog.net/70682743/neuroscout-a-unified-platform-for-generalizable-and-reproducible-fmri-research