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arXiv · 1804.11127

Investigations on End-to-End Audiovisual Fusion

Michael Wand·Ngoc Thang Vu·Juergen Schmidhuber
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Abstract

Audiovisual speech recognition (AVSR) is a method to alleviate the adverse effect of noise in the acoustic signal. Leveraging recent developments in deep neural network-based speech recognition, we present an AVSR neural network architecture which is trained end-to-end, without the need to separately model the process of decision fusion as in conventional (e.g. HMM-based) systems. The fusion system outperforms single-modality recognition under all noise conditions. Investigation of the saliency of the input features shows that the neural network automatically adapts to different noise levels in the acoustic signal.

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Michael Wand, Ngoc Thang Vu, Juergen Schmidhuber. 2018-04-30. Investigations on End-to-End Audiovisual Fusion. https://arxiv.org/abs/1804.11127

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