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