Leveraging fine-grained error correction in Korean speech recognition for consultation services
This work introduces DasanCallDial, the first large-scale Korean benchmark dataset specifically curated for dialogue-level ASR error correction, and proposes Detector-Gated Contextual Span Correction (DCSC), a text-only post-editing framework for error-sparse Korean speech recognition transcripts.