24 citations · 25 across the 7 of their papers we have counts for
5 papers · 1 filter
ReDimNet2: Scaling Speaker Verification via Time-Pooled Dimension Reshaping
Ivan Yakovlev, Anton Okhotnikov
We present ReDimNet2, an improved neural network architecture for extracting utterance-level speaker representations that builds upon the ReDimNet dimension-reshaping framework. Th…
Study on Inter and Intra Speaker Variability in Speaker Recognition
Anton Okhotnikov, Nikita Torgashov, Ivan Yakovlev +2
Optimization of a trade-off between the number of speakers and their temporal variability (or session diversity) is crucial for the development of a speaker recognition system toge…
Reshape Dimensions Network for Speaker Recognition
Ivan Yakovlev, Rostislav Makarov, Andrei Balykin +3
In this paper, we present Reshape Dimensions Network (ReDimNet), a novel neural network architecture for extracting utterance-level speaker representations. Our approach leverages…
LRPD: Large Replay Parallel Dataset
Ivan Yakovlev, Mikhail Melnikov, Nikita Bukhal +4
The latest research in the field of voice anti-spoofing (VAS) shows that deep neural networks (DNN) outperform classic approaches like GMM in the task of presentation attack detect…
The ID R&D VoxCeleb Speaker Recognition Challenge 2023 System Description
Nikita Torgashov, Rostislav Makarov, Ivan Yakovlev +3
This report describes ID R&D team submissions for Track 2 (open) to the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our solution is based on the fusion of deep ResNets…