This model is an OpenFST finite state archive (.far) for use within the opensource Sparrowhawk normalization engine . This model has been created for French (fr-FR) text.
This model uses weighted finite-state transducer (WFST) grammars that map strings in spoken form to strings in written form.
The model was constructed using Nemo toolkit as outlined in intro and Text processing
To use this model, we can use Riva Skills Quick start guide , it is a starting point to try out Riva models . Information regarding Quick start guide can be found : here.
This model is part of a pipeline for speech to text and accepts text as input.
The output is written form text.
 NeMo Inverse Text Normalization: From Development To Production
 [Google Sparrowhawk] (https://github.com/google/sparrowhawk)
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