Inverse Text Normalization: Weighted Finite State Transducer
This model is an OpenFST finite state archive (.far) for use within the opensource Sparrowhawk normalization engine . This model has been created for German (de-DE) text.
This model uses weighted finite-state transducer (WFST) grammars that map strings in spoken form to strings in written form.
How to Use this Model
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.
 [Google Sparrowhawk] (https://github.com/google/sparrowhawk)
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