Skip to content

README.md

Latest commit

 

History

History
29 lines (21 loc) · 997 Bytes

README.md

File metadata and controls

29 lines (21 loc) · 997 Bytes
Raw

Android model assets

The app loads four FST models at runtime (see MainActivity.kt and wetextprocessing.cc). They are not checked into git and must be placed in this directory before building the APK:

  • zh_tn_tagger.fst
  • zh_tn_verbalizer.fst
  • zh_itn_tagger.fst
  • zh_itn_verbalizer.fst

How to generate

From the repository root, generate the TN (text normalization) and ITN (inverse text normalization) models straight into this folder:

assets=runtime/android/app/src/main/assets

# TN: produces zh_tn_tagger.fst and zh_tn_verbalizer.fst
python -m tn --language zh --overwrite_cache --cache_dir "$assets"

# ITN: produces zh_itn_tagger.fst and zh_itn_verbalizer.fst
python -m itn --language zh --overwrite_cache --cache_dir "$assets"

pynini is required to build the models (pip install pynini importlib_resources). On startup MainActivity.assetsInit() unpacks these files from assets into the app's filesDir, where the native Processor reads them.