This model is an OpenFST finite state archive (.far) for use within the opensource Sparrowhawk normalization engine . This model has been created for English (en-US) text.
This model uses weighted finite-state transducer (WFST) grammars that map strings in written form to strings in spoken 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 text to speech and accepts text as input.
The output is normalized text which is then passed to the next stage in the text to speech pipeline.
 NeMo Inverse Text Normalization: From Development To Production
 [Google Sparrowhawk] (https://github.com/google/sparrowhawk)
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