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Kush Juvekar
Kush0610
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Releasing Vividh-ASR — an open benchmark and models for Hindi and Malayalam ASR. Vividh-ASR is built from public data, stratified by complexity: → Clean recordings → Noisy and accented speech → Spontaneous, conversational audio Alongside the benchmark, we release: → Open models for Hindi and Malayalam → A training recipe with two counterintuitive choices that moved the needle → What failed, not just what worked The stratified evaluation methodology transfers directly to any low-resource language setup — beyond Hindi and Malayalam. Built at @adalatai, where we build speech tech for Indian courts. This is our first open contribution back to the community. @janaab @Kush0610 @orgh0 Link: https://huggingface.co/blog/adalat-ai/vividh-benchmark
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Vividh-ASR: Diagnosing and Fixing Studio-Bias in Whisper for Indic Languages
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Vividh-ASR: Diagnosing and Fixing Studio-Bias in Whisper for Indic Languages
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Vividh-ASR: Diagnosing and Fixing Studio-Bias in Whisper for Indic Languages
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2601.05255
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