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Improving Deep Cnn Networks With Long Temporal Context For Text-Independent Speaker Verification

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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Improving Deep Cnn Networks With Long Temporal Context For Text-Independent Speaker Verification

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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