mu-bench: A Multilingual Utterance Transcription Benchmark
Voice agents depend on accurate automatic speech recognition (ASR) to act on what callers say, yet ASR is evaluated on read, English-centric speech with word error rate (WER), which penalizes surface rather than semantic differences.
By Andrea Li (UC Berkeley), Soham Ray (Sierra AI)arXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Sep 30, 2026.
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