65 citations · 182 across the 10 of their papers we have counts for
11 papers
Detecting Synthetic Speech Manipulation in Real Audio Recordings
Md Hafizur Rahman, Martin Graciarena, Diego Castan +3
Recent advances in artificial speech and audio technologies have improved the abilities of deep-fake operators to falsify media and spread malicious misinformation. Anyone with lim…
A Discriminative Hierarchical PLDA-based Model for Spoken Language Recognition
Luciana Ferrer, Diego Castan, Mitchell McLaren +1
Spoken language recognition (SLR) refers to the automatic process used to determine the language present in a speech sample. SLR is an important task in its own right, for example,…
A Speaker Verification Backend with Robust Performance across Conditions
Luciana Ferrer, Mitchell McLaren, Niko Brummer
In this paper, we address the problem of speaker verification in conditions unseen or unknown during development. A standard method for speaker verification consists of extracting…
VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge
Arsha Nagrani, Joon Son Chung, Jaesung Huh +6
We held the second installment of the VoxCeleb Speaker Recognition Challenge in conjunction with Interspeech 2020. The goal of this challenge was to assess how well current speaker…
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection
Tharindu Fernando, Sridha Sridharan, Mitchell McLaren +3
This paper presents a novel framework for Speech Activity Detection (SAD). Inspired by the recent success of multi-task learning approaches in the speech processing domain, we prop…
A Speaker Verification Backend for Improved Calibration Performance across Varying Conditions
Luciana Ferrer, Mitchell McLaren
In a recent work, we presented a discriminative backend for speaker verification that achieved good out-of-the-box calibration performance on most tested conditions containing vary…