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Jitesh K Prasad PRO

jiteshkprasad
udgamlabs
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https://jiteshkprasad.com/

AI & ML interests

Building udgamlabs.com

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liked a model about 2 hours ago
udgamlabs/Shruti
posted an update about 10 hours ago
Shruti: speech-to-text for Hindi, English and Hinglish in one 29.5 MB file, with open weights (Apache-2.0). • About 100× smaller than Whisper large-v3, and more accurate on Hindi (word error rate, same clips): Monsoon 20.46 vs 33.29, FLEURS 20.14 vs 28.88, Lahaja 22.87 vs 31.19. Whisper is better on English. • The fewest Hinglish mistakes of the open models we measured (MUCS 2021): 35.2 vs 57.5 and 64.5. • Runs offline in the browser, on your phone or laptop. Built on Whistle by https://huggingface.co/Cactus-Compute. The full results table and the limits are on the card. Demo: https://huggingface.co/spaces/udgamlabs/Shruti Weights: https://huggingface.co/udgamlabs/Shruti
liked a Space 1 day ago
udgamlabs/Shruti
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