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We introduce , a 200‑hour, high‑quality speech corpus together with a 5‑million‑word text corpus covering modern Kannada. The dataset is manually transcribed, balanced across speakers (male/female, age groups, dialects) and domains (news, literature, conversational speech). Baseline experiments for automatic speech recognition (ASR) and language modelling are reported, achieving a word error rate (WER) of 12.4 % using a hybrid TDNN‑LSTM model. The corpus is released under a permissive CC‑BY‑4.0 license to foster research on low‑resource Dravidian languages. isaimini kannada 2019 link
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