2 citations · 3 across the 19 of their papers we have counts for
5 papers · 1 filter
Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants
Aadam Haq, Oggi Rudovic, Malcolm Chadwick +5
AI voice assistants often use Automatic Speech Recognition (ASR) with LLM-based reasoning, yet existing systems struggle with regional British accents, including Scottish, Irish, a…
Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
Umberto Cappellazzo, Xubo Liu, Stavros Petridis +1
Self-supervised learning (SSL) has driven substantial progress in audio representation learning, though existing methods have increasingly relied on elaborate pre-training recipes…
VIB-AVSR: Variational Information Bottleneck for Noise-Robust LLM-Based Audio-Visual Speech Recognition
Piyush Arora, Navlika Singh, Umberto Cappellazzo +2
Audio-Visual Speech Recognition takes two input modalities, acoustic and visual streams, where visual information from lip movements aids recognition when audio is noisy. Recently,…
Assessing True Generalisability of Audio-Visual Speech Recognisers
Zhaofeng Lin, Stavros Petridis, Maja Pantic +1
Current Audio-Visual Speech Recognition (AVSR) models achieve near-perfect performance on the standard LRS3 benchmark, raising concerns of adaptive overfitting. To systematically a…
Dr. SHAP-AV: Decoding Relative Modality Contributions via Shapley Attribution in Audio-Visual Speech Recognition
Umberto Cappellazzo, Stavros Petridis, Maja Pantic
Audio-Visual Speech Recognition (AVSR) leverages both acoustic and visual information for robust recognition under noise. However, how models balance these modalities remains uncle…