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Improving Deep Cnn Networks With Long Temporal Context For Text-Independent Speaker Verification
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Improving Deep Cnn Networks With Long Temporal Context For Text-Independent Speaker Verification
Deep CNN networks have shown great success in various tasks for text-independent speaker recognition. In this paper, we explore two approaches for modeling long temporal contexts to improve the performance of the ResNet networks. The first approach is sim
Deep CNN networks have shown great success in various tasks for text-independent speaker recognition. In this paper, we explore two approaches for modeling long temporal contexts to improve the performance of the ResNet networks. The first approach is sim
