AI RESEARCH
AfriVox-v2: A Domain-Verticalized Benchmark for In-the-Wild African Speech Recognition
arXiv CS.CL
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ArXi:2605.03590v1 Announce Type: new Recent large language models (LLMs) show strong speech recognition and translation capabilities for high-resource languages. However, African languages remain dramatically underrepresented in benchmarks, limiting their practical use in low-resource settings. While early benchmarks tested African languages and accents, they lacked exhaustive real-world noise and granular domain evaluations. We present AfriVox-v2, a comprehensive benchmark designed to test speech models under realistic African deployment conditions. AfriVox-v2