73 citations · 145 across the 13 of their papers we have counts for
6 papers · 1 filter
AV Taris: Online Audio-Visual Speech Recognition
George Sterpu, Naomi Harte
In recent years, Automatic Speech Recognition (ASR) technology has approached human-level performance on conversational speech under relatively clean listening conditions. In more…
Deep Multi-Scale Feature Learning for Defocus Blur Estimation
Ali Karaali, Naomi Harte, Claudio Rosito Jung
This paper presents an edge-based defocus blur estimation method from a single defocused image. We first distinguish edges that lie at depth discontinuities (called depth edges, fo…
Learning to Count Words in Fluent Speech enables Online Speech Recognition
George Sterpu, Christian Saam, Naomi Harte
Sequence to Sequence models, in particular the Transformer, achieve state of the art results in Automatic Speech Recognition. Practical usage is however limited to cases where full…
Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition
George Sterpu, Christian Saam, Naomi Harte
The audio-visual speech fusion strategy AV Align has shown significant performance improvements in audio-visual speech recognition (AVSR) on the challenging LRS2 dataset. Performan…
Neural Generation of Dialogue Response Timings
Matthew Roddy, Naomi Harte
The timings of spoken response offsets in human dialogue have been shown to vary based on contextual elements of the dialogue. We propose neural models that simulate the distributi…
How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition
George Sterpu, Christian Saam, Naomi Harte
Audio-Visual Speech Recognition (AVSR) seeks to model, and thereby exploit, the dynamic relationship between a human voice and the corresponding mouth movements. A recently propose…