Riva TTS Spanish US Auxiliary Files

Model Overview

This repo contains the file used by the Riva team in creating TTS RMIRs. Included is:

es_LA_nv230301.dict

Model Architecture

es_LA_nv230301.dict: A text file where each line indicates a mapping from a Spanish US word to IPA phone(s).

Intended Use

Primary use case intended for these models is speech synthesis.

How to Use this Model

These files are meant to be used at the riva-build step when building TTS RMIRs for use with Riva.

Training Information

N/A

Limitations

N/A

License

By downloading and using the models and resources packaged with Riva Conversational AI, you accept the terms of the Riva license.

Ethical AI

NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications.\nConsider potential algorithmic bias when choosing or creating the models being deployed.\nWork with the model’s developer to ensure that it meets the requirements for the relevant industry and use case;\nthat the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.

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Included is:\n\n- es_LA_nv230301.dict\n\n### Model Architecture\n\nes_LA_nv230301.dict: A text file where each line indicates a mapping from a Spanish US word to IPA phone(s).\n\n### Intended Use\n\nPrimary use case intended for these models is speech synthesis.\n\n### How to Use this Model\n\nThese files are meant to be used at the ``riva-build`` step when building TTS RMIRs for use with Riva.\n\n### Training Information\n\nN/A\n\n### Limitations\n\nN/A\n\n### Suggested Reading\n\nRefer to the [Riva documentation](https://docs.nvidia.com/deeplearning/riva/user-guide/docs/index.html) for more information.\n\n### License\n\nBy downloading and using the models and resources packaged with Riva Conversational AI, you accept the terms of the Riva [license](https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/).\n\n### Ethical AI\n\nNVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications.\nConsider potential algorithmic bias when choosing or creating the models being deployed.\nWork with the model’s developer to ensure that it meets the requirements for the relevant industry and use case;\nthat the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.","Riva TTS Spanish US Auxiliary Files",["D",1703018612451],"deployable_v1.0","/api/image/nvidia/riva/models/speechsynthesis_es_us_auxiliary_files","https://github.com/kbojo/images/raw/master/Nvidia-Centric-RIVA.png",588506,"bias","explainability","privacy","safetyAndSecurity",[],[250,251],[],[],[],{"_92":253,"_128":253,"_129":254,"_131":132},{"_92":127,"_128":127,"_129":252,"_131":132},{"_133":132,"_128":127},"RMIR",{"_133":132,"_128":253},{"_171":1230,"_173":1231},"ngcApps",[1183],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1164":1165,"_1166":1167,"_1168":1169,"_1170":1171,"_1172":266,"_203":292,"_1173":1174,"_1175":51,"_1176":214,"_1177":214,"_1178":1179,"_1180":214,"_1181":1182},"amplitude",{"_1161":1162,"_807":-7,"_1163":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1155":1156,"_1157":1158,"_1159":1160},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787512607575,"1.12.0","defaultSearchSuggestions",{"_1047":374,"_1048":1049,"_1050":1051,"_1052":1053},"announcements",[],"consentState",{"_331":1037,"_1038":214,"_1039":26,"_1040":26,"_1041":1042},"consentConfig",{"_313":314,"_315":316,"_317":318,"_319":320,"_321":322,"_323":324,"_325":326,"_327":328,"_329":330,"_331":332},"showContactAdmin",1787512607576,[],[],[306,307,308,309,310,311],{"_40":55,"_42":66,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":63,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":60,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":56,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":45,"_46":47,"_48":312,"_50":51},5,"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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It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","nv_co","__uxq412__ses.88c1","learn.learn.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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