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Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks

By Kevin Everson and others at
LogoUniversity of Washington
In the realm of spoken language understanding (SLU), numerous natural language understanding (NLU) methodologies have been adapted by supplying large language models (LLMs) with transcribed speech instead of conventional written text. In real-world scenarios, prior to input into an LLM, an automated speech recognition (ASR) system generates an output transcript... Show more
January 5, 2024
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Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks
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