Parcourir par sujet "Lipreading"
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ACCURATE AND RESOURCE-EFFICIENT LIPREADING WITH EFFICIENTNETV2 AND TRANSFORMERS
(2022)We present a novel resource-efficient end-to-end architecture for lipreading that achieves state-of-the-art results on a popular and challenging benchmark. In particular, we make the following contributions: First, inspired ... -
Deep View2View Mapping for View-Invariant Lipreading
(2019)Recently, visual-only and audio-visual speech recognition have made significant progress thanks to deep-learning based, trainable visual front-ends (VFEs), with most research focusing on frontal or near-frontal face videos. ... -
Exploring ROI size in deep learning based lipreading
(2017)Automatic speechreading systems have increasingly exploited deep learning advances, resulting in dramatic gains over traditional methods. State-of-the-art systems typically employ convolutional neural networks (CNNs), ...