4-gram over sub-word tokens (aggregate 15,135 vocabulary) for decode-time shallow fusion with typhoon-ai/typhoon-asr-streaming-nemotron-0.6b. Trained on the ASR training transcripts plus a synthetic in-domain corpus (English code-switch terms inserted into LLM-generated Thai carrier templates) — no evaluation data. Tokenizer-locked: it works only with the matching model's tokenizer.

File: ngram_4gram_agg.nemo (~2.4 GB, NeMo NGramGPULanguageModel binary). It ships as a .nemo binary rather than ARPA because the 15k aggregate vocabulary corrupts the ARPA chr() token encoding — the binary is offset-independent and is the supported artifact.

Enable n-gram fusion in the streaming greedy decoder (see the project repo, docs/SHALLOW_FUSION.md):

On the TVSpeech held-out test @1040 ms this lifts keyword recall 16.6% → 20.4% at neutral CER, with under a 3% change in the real-time factor.

OpenMDW-1.1 (see LICENSE in this repository), matching the paired acoustic model, which derives from NVIDIA's Nemotron streaming ASR base. "Nemotron" is an NVIDIA trademark, used only to identify the base model; this release is not affiliated with or endorsed by NVIDIA. Built by SCB DataX for the Typhoon ASR Streaming project.