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ReDimNet2+: Multi-Corpus Data Scaling for Robust Speaker Verification

Borodin, Kirill et al.
arXiv (All) · Papers
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Automatic speaker verification must remain reliable across devices, rooms, and compression pipelines. We present ReDimNet2+, which scales training of the compact ReDimNet2 backbone across seven public corpora (63,934 speakers, about 8,675 hours). Analysis of a VoxBlink2 subset reveals a shift in pre
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