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4.1
TFLOPS
10
5
21
Kumarmanas Nethil
janaab
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janaab11
AI & ML interests
speech, dialog systems and low-resource ML
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skit-ai/emotion-tts:
Reformat dataset for Dataset Viewer + add Dataset Card
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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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janaab/supreme-court-speech
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Aug 29, 2024
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