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1 paper

eess.AS2025

LLM-based speaker diarization correction: A generalizable approach

Georgios Efstathiadis, Vijay Yadav, Anzar Abbas

Speaker diarization is necessary for interpreting conversations transcribed using automated speech recognition (ASR) tools. Despite significant developments in diarization methods,…