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20222025
most citedEEND-DEMUX: End-to-End Neural Speaker Diarization via Demultiplexed Speaker Embeddings

1 citations · 1 across the 6 of their papers we have counts for

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eess.AS2023★ 1 cited

EEND-DEMUX: End-to-End Neural Speaker Diarization via Demultiplexed Speaker Embeddings

Sung Hwan Mun, Min Hyun Han, Canyeong Moon +1

In recent years, there have been studies to further improve the end-to-end neural speaker diarization (EEND) systems. This letter proposes the EEND-DEMUX model, a novel framework u…

eess.AS2023

Towards single integrated spoofing-aware speaker verification embeddings

Sung Hwan Mun, Hye-jin Shim, Hemlata Tak +12

This study aims to develop a single integrated spoofing-aware speaker verification (SASV) embeddings that satisfy two aspects. First, rejecting non-target speakers' input as well a…