MedSpeak refines noisy ASR transcripts for medical SQA by combining semantic and phonetic info from a knowledge graph with LLM reasoning.
While fine-tuning ASR models on domain-specific datasets has been explored, these efforts are still limited by data scarcity and poor generalization [2, 7, 8]
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MedSpeak: A Knowledge Graph-Aided ASR Error Correction Framework for Spoken Medical QA
MedSpeak refines noisy ASR transcripts for medical SQA by combining semantic and phonetic info from a knowledge graph with LLM reasoning.