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release kriti nepali asr

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  1. .gitattributes +1 -0
  2. LICENSE +21 -0
  3. NOTICE +12 -0
  4. README.md +84 -0
  5. benchmark.json +594 -0
  6. kriti.nemo +3 -0
  7. model.json +23 -0
  8. punctuation_head.json +1 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ kriti.nemo filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
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+
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+ Copyright (c) 2026 Kriti contributors
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
NOTICE ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Kriti includes weights derived from AI4Bharat IndicConformer.
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+
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+ Base model:
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+ ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large
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+ revision cd09ba7720f3b17d259f6bfd03e1463bc5ba517d
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+
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+ The upstream model card declares the model under the MIT License. The original
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+ model card and attribution are available at:
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+ https://huggingface.co/ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large
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+
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+ The OpenSLR, FLEURS, and IndicVoices source materials retain their own licenses
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+ and are not redistributed in this repository or the model repository.
README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - ne
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+ license: mit
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+ library_name: nemo
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+ pipeline_tag: automatic-speech-recognition
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+ tags:
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+ - nepali
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+ - rnnt
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+ - conformer
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+ - speech
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+ base_model: ai4bharat/indicconformer_stt_ne_hybrid_ctc_rnnt_large
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+ ---
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+
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+ # kriti
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+
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+ kriti sets a new efficiency frontier for open nepali asr with 119,462,146 live
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+ parameters. it is joint first in our 19-system development benchmark, records
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+ the best raw wer in that evaluated field, and leads the fine-tuned qwen3 nepali
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+ asr model, whisper large v3,
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+ and mms 1b variants while being far smaller. it is derived from the
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+ mit-licensed ai4bharat nepali indicconformer and retains its attribution.
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+
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+ ## results
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+
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+ | rank | model | punctuation-insensitive wer | raw wer |
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+ |---:|---|---:|---:|
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+ | 1 | <mark>kriti</mark> | <mark>24.0773%</mark> | <mark>24.6854%</mark> |
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+ | 1 | ai4bharat nepali indicconformer rnnt | 24.0773% | 25.1928% |
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+ | 3 | ai4bharat nepali indicconformer ctc | 25.3109% | 26.4313% |
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+ | 4 | qwen3 asr nepali fine-tuned | 52.4043% | 55.5196% |
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+ | 5 | whisper large v3 nepali | 55.7059% | 57.8369% |
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+ | 6 | whisper large v3 nepali openslr | 55.7678% | 57.4514% |
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+ | 7 | whisper medium nepali | 58.4027% | 60.8634% |
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+ | 8 | meta mms 1b all, nepali adapter | 60.1274% | 61.2749% |
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+ | 9 | mms 1b nepali | 60.7661% | 63.2307% |
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+ | 10 | xls-r 300m nepali | 62.8900% | 63.9039% |
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+
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+ the benchmark uses a frozen 3,630-utterance development view. each listed
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+ system was loaded and evaluated twice with identical prediction hashes. kriti
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+ is joint first on the primary punctuation-insensitive metric and has the lower
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+ raw wer through its acoustic danda head. this is model-selection evidence, not
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+ an untouched test claim.
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+
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+ ## architecture
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+
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+ ```text
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+ 16 khz audio -> 80-bin log-mel -> 17 conformer blocks -> 257-token nepali rnnt
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+ -> 1,024 pooled encoder features -> 1,025-parameter danda head
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+ ```
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+
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+ the conformer has width 512, eight attention heads, four-times subsampling, and
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+ kernel width 31. the prediction and joint networks have width 640. the public
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+ loader retains only the nepali joint head and compacts the prediction embedding
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+ at load time.
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+
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+ ## usage
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+
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+ ```bash
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+ git clone https://github.com/harrrshall/kriti
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+ cd kriti
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+ python -m venv .venv
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+ source .venv/bin/activate
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+ pip install -e '.[runtime]'
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+ kriti audio.wav
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+ ```
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+
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+ ```python
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+ from kriti import load_model
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+
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+ model = load_model()
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+ print(model.transcribe("audio.wav"))
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+ ```
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+
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+ input must be mono 16 khz audio. artifact hashes and the exact live parameter
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+ count are verified by the loader. see the
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+ [github repository](https://github.com/harrrshall/kriti) for architecture,
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+ training, data provenance, benchmark protocol, and metric code.
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+
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+ ## license and data
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+
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+ code and derived weights are released under mit with ai4bharat attribution.
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+ the training sources retain their original terms. no raw audio, transcripts,
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+ speaker metadata, or gated source rows are redistributed.
benchmark.json ADDED
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+ "tie_policy": "exact primary error ratios share a competition rank",
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+ "selection_view": true
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+ "rank": 1,
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+ "key": "ai4bharat-ne-hybrid-rnnt",
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+ "model": "AI4Bharat Nepali IndicConformer hybrid (RNNT)",
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