Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition

5 Sep 2018George SterpuChristian SaamNaomi Harte

Automatic speech recognition can potentially benefit from the lip motion patterns, complementing acoustic speech to improve the overall recognition performance, particularly in noise. In this paper we propose an audio-visual fusion strategy that goes beyond simple feature concatenation and learns to automatically align the two modalities, leading to enhanced representations which increase the recognition accuracy in both clean and noisy conditions... (read more)

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