Utterance-level Aggregation For Speaker Recognition In The Wild笔记
论文链接：https://arxiv.org/abs/1902.10107v1 开源代码：http://www.robots.ox.ac.uk/~vgg/research/speakerID/ 网络结构 输入：每帧257维向量，256维的频率量+1维的DC量 主干网络：Thin-ResNet，提取frame-level特征 NetVLAD或GhostVLAD层：将frame-level的特征转换成
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