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Enhancing End-to-End Conversational Speech Translation Through Target Language Context Utilization
Amir Hussein, Brian Yan, Antonios Anastasopoulos +2
Incorporating longer context has been shown to benefit machine translation, but the inclusion of context in end-to-end speech translation (E2E-ST) remains under-studied. To bridge…
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge
Siddhant Arora, Hayato Futami, Shih-Lun Wu +6
Recently there have been efforts to introduce new benchmark tasks for spoken language understanding (SLU), like semantic parsing. In this paper, we describe our proposed spoken sem…
Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog History
Siddhant Arora, Hayato Futami, Emiru Tsunoo +2
Most human interactions occur in the form of spoken conversations where the semantic meaning of a given utterance depends on the context. Each utterance in spoken conversation can…
Two-Pass Low Latency End-to-End Spoken Language Understanding
Siddhant Arora, Siddharth Dalmia, Xuankai Chang +3
End-to-end (E2E) models are becoming increasingly popular for spoken language understanding (SLU) systems and are beginning to achieve competitive performance to pipeline-based app…