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Large-Scale Unsupervised Pre-Training For End-To-End Spoken Language Understanding

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IEEE ICASSP 2020 Virtual Conference May 2020

End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation. In this paper, we explore unsupervised pre-training for End-to-end SLU models by learning repre

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Large-Scale Unsupervised Pre-Training For End-To-End Spoken Language Understanding

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End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation. In this paper, we explore unsupervised pre-training for End-to-end SLU models by learning repre