Search Results for author: Daniel Garcia-Romero

Found 8 papers, 2 papers with code

The VoxCeleb Speaker Recognition Challenge: A Retrospective

no code implementations27 Aug 2024 Jaesung Huh, Joon Son Chung, Arsha Nagrani, Andrew Brown, Jee-weon Jung, Daniel Garcia-Romero, Andrew Zisserman

In this paper, we provide a review of these challenges that covers: what they explored; the methods developed by the challenge participants and how these evolved; and also the current state of the field for speaker verification and diarisation.

Domain Adaptation Speaker Recognition +1

SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models

no code implementations14 May 2024 Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J Han, Katrin Kirchhoff

Despite safety guardrails, experiments on jailbreaking demonstrate the vulnerability of SLMs to adversarial perturbations and transfer attacks, with average attack success rates of 90% and 10% respectively when evaluated on a dataset of carefully designed harmful questions spanning 12 different toxic categories.

Adversarial Robustness Instruction Following +1

VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge

1 code implementation20 Feb 2023 Jaesung Huh, Andrew Brown, Jee-weon Jung, Joon Son Chung, Arsha Nagrani, Daniel Garcia-Romero, Andrew Zisserman

This paper summarises the findings from the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22), which was held in conjunction with INTERSPEECH 2022.

Speaker Diarization Speaker Recognition +1

Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors

1 code implementation24 Mar 2018 Anna Silnova, Niko Brummer, Daniel Garcia-Romero, David Snyder, Lukas Burget

We have recently introduced a fast scoring algorithm for a discriminatively trained HT-PLDA backend.

Generative Modelling for Unsupervised Score Calibration

no code implementations4 Nov 2013 Niko Brümmer, Daniel Garcia-Romero

Score calibration enables automatic speaker recognizers to make cost-effective accept / reject decisions.

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