Speech Recognition2025en

WildASR: A Multilingual Diagnostic Benchmark for ASR Robustness

Multilingual (English, Chinese, Japanese, Korean) diagnostic benchmark evaluating ASR robustness across three out-of-distribution dimensions: environmental degradation (reverberation, noise, clipping), demographic shift (accents, children, older speakers), and linguistic diversity (code-switching, short utterances, incomplete speech). Uses WER for English and CER for CJK languages.

Metrics:wer, cer
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WildASR Benchmark - Speech Recognition | CodeSOTA