HiKE: Hierarchical Evaluation Framework for Korean-English Code-Switching Speech Recognition
Published in Findings of EACL, 2026
Introduces HiKE, the first globally accessible hierarchical benchmark for Korean-English code-switching speech recognition, featuring loanword-aware annotations and multi-level code-switching labels that enable fine-grained evaluation of multilingual ASR models.
Recommended citation: Gio Paik, Yongbeom Kim, Soungmin Lee, Sangmin Ahn, Chanwoo Kim. (2026). "HiKE: Hierarchical Evaluation Framework for Korean-English Code-Switching Speech Recognition." Findings of EACL 2026.
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