activity
20192023
most citedMagnitude-aware Probabilistic Speaker Embeddings

5 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2023

Probabilistic Back-ends for Online Speaker Recognition and Clustering

Alexey Sholokhov, Nikita Kuzmin, Kong Aik Lee +1

This paper focuses on multi-enrollment speaker recognition which naturally occurs in the task of online speaker clustering, and studies the properties of different scoring back-end…

eess.AS2022

Baselines and Protocols for Household Speaker Recognition

Alexey Sholokhov, Xuechen Liu, Md Sahidullah +1

Speaker recognition on household devices, such as smart speakers, features several challenges: (i) robustness across a vast number of heterogeneous domains (households), (ii) short…

eess.AS2022★ 5 cited

Magnitude-aware Probabilistic Speaker Embeddings

Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov

Recently, hyperspherical embeddings have established themselves as a dominant technique for face and voice recognition. Specifically, Euclidean space vector embeddings are learned…

eess.AS2020

Extrapolating false alarm rates in automatic speaker verification

Alexey Sholokhov, Tomi Kinnunen, Ville Vestman +1

Automatic speaker verification (ASV) vendors and corpus providers would both benefit from tools to reliably extrapolate performance metrics for large speaker populations without co…

eess.AS2019

Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores

Alexey Sholokhov, Tomi Kinnunen, Ville Vestman +1

How secure automatic speaker verification (ASV) technology is? More concretely, given a specific target speaker, how likely is it to find another person who gets falsely accepted a…