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Training Spoken Language Understanding Systems With Non-Parallel Speech And Text

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IEEE ICASSP 2020 Virtual Conference May 2020

End-to-end spoken language understanding (SLU) systems are typically trained on large amounts of data. In many practical scenarios, the amount of labeled speech is often limited as opposed to text. In this study, we investigate the use of non-parallel spe

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Training Spoken Language Understanding Systems With Non-Parallel Speech And Text

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End-to-end spoken language understanding (SLU) systems are typically trained on large amounts of data. In many practical scenarios, the amount of labeled speech is often limited as opposed to text. In this study, we investigate the use of non-parallel spe