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Indic DiarBench reveals that existing ASR systems struggle with the rich linguistic diversity of Indian languages, highlighting a critical gap in multilingual speech technology.
LLMs can help you build better ASR benchmarks for low-resource languages, reducing error rates by 6.3 points and better aligning with human perception.
