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A Supervised Learning Method for Improving the Generalization of Speaker Verification Systems by Learning Metrics from a Mean Teacher

The majority of recent speaker verification tasks are studied under open-set evaluation scenarios considering real-world conditions. The characteristics of these tasks imply that the generalization towards unseen speakers is a critical capability. Thus, this study aims to improve the generalization...

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Hlavní autoři: Ju-Ho Kim, Hye-Jin Shim, Jee-Weon Jung, Ha-Jin Yu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2021-12-01
Edice:Applied Sciences
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On-line přístup:https://www.mdpi.com/2076-3417/12/1/76
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