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Multi-Level Deep Neural Network Adaptation For Speaker Verification Using Mmd And Consistency Regularization
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Multi-Level Deep Neural Network Adaptation For Speaker Verification Using Mmd And Consistency Regularization
Adapting speaker verification (SV) systems to a new environment is a very challenging task. Current adaptation methods in SV mainly focus on the backend, i.e, adaptation is carried out after the speaker embeddings have been created. In this paper, we pres
Adapting speaker verification (SV) systems to a new environment is a very challenging task. Current adaptation methods in SV mainly focus on the backend, i.e, adaptation is carried out after the speaker embeddings have been created. In this paper, we pres