Nes2Net深度学习架构发布，革新语音防伪检测技术
近日，Nes2Net深度学习模型架构正式开源发布，成为语音反欺骗系统领域的重要突破。据AIbase了解，Nes2Net专为语音防伪检测设计，能够有效识别语音克隆、逻辑访问攻击、假歌声、假语音及部分语音伪造等多种伪造声音类型。其在歌唱声音深度伪造数据集CtrSVDD上的表现尤为突出，性能比当前最佳基线系统提升22%，后端计算成本降低87%。项目已在GitHub公开，引发了语音安全与AI研究社区的广泛关注。核心创新:嵌套架构直接处理高维特征Nes2Net的核心在于其独特的Nested Res2Net架构，解决了传统语
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