Michał Affek - Publikacje - MOST Wiedzy

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Rok 2022
  • Open-Set Speaker Identification Using Closed-Set Pretrained Embeddings

    The paper proposes an approach for extending deep neural networks-based solutions to closed-set speaker identification toward the open-set problem. The idea is built on the characteristics of deep neural networks trained for the classification tasks, where there is a layer consisting of a set of deep features extracted from the analyzed inputs. By extracting this vector and performing anomaly detection against the set of known...

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