128 citations · 146 across the 12 of their papers we have counts for
8 papers · 1 filter
Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition
Alexandros Haliassos, Rodrigo Mira, Stavros Petridis
Unified Speech Recognition (USR) has emerged as a semi-supervised framework for training a single model for audio, visual, and audiovisual speech recognition, achieving state-of-th…
Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation
Junyoung Seo, Rodrigo Mira, Alexandros Haliassos +6
Audio-driven human animation models often suffer from identity drift during temporal autoregressive generation, where characters gradually lose their identity over time. One soluti…
Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs
Alexandros Haliassos, Rodrigo Mira, Honglie Chen +3
Research in auditory, visual, and audiovisual speech recognition (ASR, VSR, and AVSR, respectively) has traditionally been conducted independently. Even recent self-supervised stud…
BRAVEn: Improving Self-Supervised Pre-training for Visual and Auditory Speech Recognition
Alexandros Haliassos, Andreas Zinonos, Rodrigo Mira +2
Self-supervision has recently shown great promise for learning visual and auditory speech representations from unlabelled data. In this work, we propose BRAVEn, an extension to the…
SparseVSR: Lightweight and Noise Robust Visual Speech Recognition
Adriana Fernandez-Lopez, Honglie Chen, Pingchuan Ma +3
Recent advances in deep neural networks have achieved unprecedented success in visual speech recognition. However, there remains substantial disparity between current methods and t…
Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
Pingchuan Ma, Alexandros Haliassos, Adriana Fernandez-Lopez +3
Audio-visual speech recognition has received a lot of attention due to its robustness against acoustic noise. Recently, the performance of automatic, visual, and audio-visual speec…
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
Alexandros Haliassos, Rodrigo Mira, Stavros Petridis +1
One of the most pressing challenges for the detection of face-manipulated videos is generalising to forgery methods not seen during training while remaining effective under common…
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis +1
Although current deep learning-based face forgery detectors achieve impressive performance in constrained scenarios, they are vulnerable to samples created by unseen manipulation m…