Inverse Text Normalization: Weighted Finite State Transducer

Model Overview

This model is an OpenFST finite state archive (.far) for use within the opensource Sparrowhawk normalization engine [2]. This model has been created for French (fr-FR) text.

Model Architecture

This model uses weighted finite-state transducer (WFST) grammars that map strings in spoken form to strings in written form.

Training

The model was constructed using Nemo toolkit as outlined in intro and Text processing

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.

Input

This model is part of a pipeline for speech to text and accepts text as input.

Output

The output is written form text.

References

[1] NeMo Inverse Text Normalization: From Development To Production

[2] [Google Sparrowhawk] (https://github.com/google/sparrowhawk)

License

By downloading and using the models and resources packaged with Riva Conversational AI, you would be accepting the terms of the Riva license

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This model has been created for French (fr-FR) text.\n\n#### Model Architecture\n\nThis model uses weighted finite-state transducer (WFST) grammars that map strings in spoken form to strings in written form.\n\n#### Training\n\nThe model was constructed using Nemo toolkit as outlined in [intro](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/nlp/text_normalization/intro.html) and [Text processing](https://github.com/NVIDIA/NeMo/tree/main/tutorials/text_processing)\n\n#### How to Use this Model\n\nTo 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](https://ngc.nvidia.com/catalog/resources/nvidia:riva:riva_quickstart).\n\n#### Input\n\nThis model is part of a pipeline for speech to text and accepts text as input.\n\n#### Output\n\nThe output is written form text.\n\n#### References\n\n[1] [NeMo Inverse Text Normalization: From Development To Production](https://arxiv.org/abs/2104.05055)\n\n[2] [Google Sparrowhawk] (https://github.com/google/sparrowhawk)\n\n#### License\n\nBy downloading and using the models and resources packaged with Riva Conversational AI, you would be accepting the terms of the Riva [license](https://developer.nvidia.com/riva/ga/license)","Riva ASR French Inverse Normalization Grammar",["D",1678221256212],"deployable_v1.0","/api/image/nvidia/riva/models/inverse_normalization_fr_fr","https://github.com/kbojo/images/raw/master/Nvidia-Centric-TAO-RIVA.png",3003583,"bias","explainability","privacy","safetyAndSecurity",[],[],[],[],[],{"_172":1224,"_174":1225},"ngcApps",[1177],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1158":1159,"_1160":1161,"_1162":1163,"_1164":1165,"_1166":261,"_204":287,"_1167":1168,"_1169":51,"_1170":215,"_1171":215,"_1172":1173,"_1174":215,"_1175":1176},"amplitude",{"_1155":1156,"_801":-7,"_1157":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1149":1150,"_1151":1152,"_1153":1154},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787761842317,"1.12.0","defaultSearchSuggestions",{"_1041":368,"_1042":1043,"_1044":1045,"_1046":1047},"announcements",[],"consentState",{"_325":1031,"_1032":215,"_1033":26,"_1034":26,"_1035":1036},"consentConfig",{"_307":308,"_309":310,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320,"_321":322,"_323":324,"_325":326},"showContactAdmin",1787761842318,[],[],[301,302,303,304,305,306],{"_40":55,"_42":67,"_44":63,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":64,"_44":63,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":60,"_44":63,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":56,"_44":63,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":63,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":63,"_46":-5,"_48":-5,"_50":51},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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