
Magdalena RybickaAGH University of Krakow | AGH · Department of Electronics
Magdalena Rybicka
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Publications (8)
Despite many recent developments in speaker diarization, it remains a challenge and an active area of research to make diarization robust and effective in real-life scenarios. Well-established clustering-based methods are showing good performance and qualities. However, such systems are built of several independent, separately optimized modules, wh...
In various classification tasks the major challenge is in generating discriminative representation of classes. By proper selection of deep neural network (DNN) loss function we can encourage it to produce embeddings with increased inter-class separation and smaller intra-class distances. In this paper, we develop softmax-based cross-entropy loss fu...