AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Across 4,500 full-duplex calls and five voice configurations, Spanish, Portuguese, and Hindi remain within 3.2 task-completion points of English, but Korean and Mandarin fall by 14.7 and 8.4 points, respectively.
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. We introduce mu-bench, a dataset of 4,270 caller utterances from 250 phone calls to an...
A 200-task voice benchmark spanning 10 entity types, controlled difficulty, caller realisms, and three environments is introduced, identifying strategy selection and successful recovery as the central bottlenecks in exact spoken entity collection.
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