BEAT2AASIST model with layer fusion for ESDD 2026 Challenge
BEAT2AASIST模型结合层融合用于ESDD 2026挑战
机构 * Department of Mathematics, Korea University(韩国大学数学系) ; Department of Statistics and Data Science, Chung-Ang University(Chung-Ang 大学统计与数据科学系) ; Department of Smart Cities, Chung-Ang University(Chung-Ang 大学智慧城市系) ; Center for Applied Mathematics, Cornell University(康奈尔大学应用数学中心) ; Department of Big Data Application, Hannam University(汉南大学大数据应用系)
AI总结 BEAT2AASIST模型通过层融合和双AASIST分支提升环境声音深度伪造检测性能。
Comments 3 pages, 1 figure, challenge paper