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papersSEP 10 04:00 UTC

Researchers propose fine-grained error correction to improve Korean ASR for consultation services

A newly published arXiv paper tackles recognition errors that occur when automatic speech recognition is deployed in customer consultation settings. The authors introduce a fine-grained error correction method aimed at Korean-language call center dialogue, where even advanced ASR systems continue to make mistakes. The work targets customer service automation and large-scale transcription applications.

asr/korean/error-correction/customer-service