most citedTie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding

8 citations · 8 across the 1 of their papers we have counts for

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1 paper

eess.AS2020★ 8 cited

Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding

Bhuvan Agrawal, Markus Müller, Martin Radfar +3

End-to-end (E2E) spoken language understanding (SLU) systems can infer the semantics of a spoken utterance directly from an audio signal. However, training an E2E system remains a…