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Speaker embedding loss for end-to-end speaker diarization without external embedding networks

Abstract This paper introduces a novel speaker embedding loss function designed to improve the performance of end-to-end neural diarization (EEND) systems by enhancing speaker discrimination. Unlike previous methods that require additional speaker embedding networks or pre-training on large-scale sp...

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Principais autores: Jaehee Jung, Wooil Kim
פורמט: Artigo
שפה:Inglês
יצא לאור: SpringerOpen 2025-11-01
סדרה:EURASIP Journal on Audio, Speech, and Music Processing
נושאים:
Speaker diarization
End-to-end neural diarization
Speaker embedding loss
Speaker label
גישה מקוונת:https://doi.org/10.1186/s13636-025-00431-4
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