Why it matters
Nepali speech, open and verifiable for the first time.
Before Kriti, every competitive Nepali ASR system was proprietary or inaccessible. Kriti matches the best published system at 119M parameters and ships the full evidence: weights, model card, the frozen benchmark view, and artifact hashes anyone can check.
Architecture
Conformer encoder, RNNT, and a danda head.
Seventeen Conformer blocks feed a Nepali-only RNN-Transducer. A separate 1,025-parameter acoustic head — pooled encoder output into a logistic layer, threshold 0.711 — decides when a terminal Devanagari danda (।) belongs in the transcript. Multilingual heads from the base model are pruned; only Nepali decoding paths remain.
Training data
630 hours across four open sources.
402,905 clips from OpenSLR 54 (153k clips), OpenSLR 43 (2k), FLEURS Nepali (4.3k), and AI4Bharat IndicVoices (242k). All sources are public. The model adapts AI4Bharat IndicConformer (commit cd09ba7) with the multilingual graph removed and a Nepali-only graph added.