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4. Using Speech Synthesis To Train End-To-End Spoken Language Understanding Models

Using Speech Synthesis To Train End-To-End Spoken Language Understanding Models

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IEEE ICASSP 2020 Virtual Conference May 2020

End-to-end models are an attractive new approach to spoken language understanding (SLU) in which the meaning of an utterance is inferred directly from the raw audio, without employing the standard pipeline composed of a separately trained speech recognize

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Using Speech Synthesis To Train End-To-End Spoken Language Understanding Models

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End-to-end models are an attractive new approach to spoken language understanding (SLU) in which the meaning of an utterance is inferred directly from the raw audio, without employing the standard pipeline composed of a separately trained speech recognize