2.3k citations · 5.5k across the 42 of their papers we have counts for
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Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
Samuel Albanie, Arsha Nagrani, Andrea Vedaldi +1
Obtaining large, human labelled speech datasets to train models for emotion recognition is a notoriously challenging task, hindered by annotation cost and label ambiguity. In this…
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung, Arsha Nagrani, Andrew Zisserman
The objective of this paper is speaker recognition under noisy and unconstrained conditions. We make two key contributions. First, we introduce a very large-scale audio-visual spea…
Learnable PINs: Cross-Modal Embeddings for Person Identity
Arsha Nagrani, Samuel Albanie, Andrew Zisserman
We propose and investigate an identity sensitive joint embedding of face and voice. Such an embedding enables cross-modal retrieval from voice to face and from face to voice. We ma…
Seeing Voices and Hearing Faces: Cross-modal biometric matching
Arsha Nagrani, Samuel Albanie, Andrew Zisserman
We introduce a seemingly impossible task: given only an audio clip of someone speaking, decide which of two face images is the speaker. In this paper we study this, and a number of…
From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script
Arsha Nagrani, Andrew Zisserman
The goal of this paper is the automatic identification of characters in TV and feature film material. In contrast to standard approaches to this task, which rely on the weak superv…