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 Spanish (es-ES) 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 Inverse Text Normalization.
How to Use this Model
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.
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