Nov. 16, 2022, 2:16 a.m. | Abhinav Goyal, Anupam Singh, Nikesh Garera

cs.CL updates on arXiv.org arxiv.org

Automation of on-call customer support relies heavily on accurate and
efficient speech-to-intent (S2I) systems. Building such systems using
multi-component pipelines can pose various challenges because they require
large annotated datasets, have higher latency, and have complex deployment.
These pipelines are also prone to compounding errors. To overcome these
challenges, we discuss an end-to-end (E2E) S2I model for customer support
voicebot task in a bilingual setting. We show how we can solve E2E intent
classification by leveraging a pre-trained automatic speech …

arxiv commerce customer support e-commerce english hindi prediction speech support

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