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20162026
most citedGAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters

18 citations · 51 across the 22 of their papers we have counts for

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7 papers · 1 filter

eess.AS2026

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection

Ivan Kukanov, Janne Laakkonen, Ville Hautamäki

Meta-learning for domain generalization (MLDG) improves out-of-distribution speech deepfake detection over empirical risk minimization (ERM) when both objectives train low-rank ada…

eess.AS2026

Disentangling Speaker Traits for Deepfake Source Verification via Chebyshev Polynomial and Riemannian Metric Learning

Xi Xuan, Wenxin Zhang, Zhiyu Li +3

Speech deepfake source verification systems aims to determine whether two synthetic speech utterances originate from the same source generator, often assuming that the resulting so…

eess.AS2025

Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence

Edem Ahadzi, Vishwanath Pratap Singh, Tomi Kinnunen +1

In this work, we present the first study addressing automatic speech recognition (ASR) for children in an online learning setting. This is particularly important for both child-cen…

eess.AS2024

Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes

Ivan Kukanov, Janne Laakkonen, Tomi Kinnunen +1

Current speech deepfake detection approaches perform satisfactorily against known adversaries; however, generalization to unseen attacks remains an open challenge. The proliferatio…

eess.AS2020

An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning

Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen +1

The spoofing countermeasure (CM) systems in automatic speaker verification (ASV) are not typically used in isolation of each other. These systems can be combined, for example, into…

eess.AS2019★ 3 cited

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43

The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…

eess.AS2018

Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search

Ville Vestman, Bilal Soomro, Anssi Kanervisto +2

The popularization of science can often be disregarded by scientists as it may be challenging to put highly sophisticated research into words that general public can understand. Th…