no code implementations • 27 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.
no code implementations • 14 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.
no code implementations • 30 Jun 2023 • Raghuveer Peri, Seyed Omid Sadjadi, Daniel Garcia-Romero
Prior studies on this problem are sparse, and lack a common benchmark for systematic evaluations.
1 code implementation • 20 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.
no code implementations • 10 Dec 2021 • Rohit Paturi, Sundararajan Srinivasan, Katrin Kirchhoff, Daniel Garcia-Romero
Also, most of these models are trained with synthetic mixtures and do not generalize to real conversational data.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 24 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.
no code implementations • 4 Nov 2013 • Niko Brümmer, Daniel Garcia-Romero
Score calibration enables automatic speaker recognizers to make cost-effective accept / reject decisions.