Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition
IEEE Transactions on Neural Networks and Learning Systems(2022)
摘要
Domain adaptation aims to reduce the mismatch between the source and target domains. A domain adversarial network (DAN) has been recently proposed to incorporate adversarial learning into deep neural networks to create a domain-invariant space. However, DAN’s major drawback is that it is difficult to find the domain-invariant space by using a single feature extractor. In this article, we propose t...
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关键词
Feature extraction,Training,Task analysis,Speaker recognition,Data models,Adaptation models,Data mining
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