Speech Synthesis Collection

Overview

This collection contains end-to-end neural models for Text to Speech (TTS) to be used with Jarvis.\nThe models in this collection can be used for synthesizing speech from text. The current TTS pipeline requires two\nmodels. One that converts text to a spectrogram and one that converts a spectrogram to audio.

Available Models

For instructions on how to use a model, please see its corresponding model card page. Please note both models are\nrequired to run the TTS pipeline. The available models can be used to generate a female English voice with an American\naccent. To generate a new voice, please train Tacotron 2 on a new voice. Refer to the following NeMo notebook\nfor further information on training Tacotron 2.

Tacotron 2
WaveGlow

License

By downloading and using the models and resources packaged with TLT Conversational AI, you would be accepting the terms of the Jarvis 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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The current TTS pipeline requires two\nmodels. One that converts text to a spectrogram and one that converts a spectrogram to audio.\n\n## Available Models\n\nFor instructions on how to use a model, please see its corresponding model card page. Please note both models are\nrequired to run the TTS pipeline. The available models can be used to generate a female English voice with an American\naccent. To generate a new voice, please train Tacotron 2 on a new voice. Refer to the following [NeMo notebook](TODO)\nfor further information on training Tacotron 2.\n\n- [Tacotron 2](https://ngc.nvidia.com/catalog/models/nvidia:tlt-jarvis:speechsynthesis_english_tacotron2)\n- [WaveGlow](https://ngc.nvidia.com/catalog/models/nvidia:tlt-jarvis:speechsynthesis_waveglow)\n\n## License\n\nBy downloading and using the models and resources packaged with TLT Conversational AI, you would be accepting the terms of the Jarvis [license](https://developer.nvidia.com/ngc/nvidia-jarvis-license)\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.","Jarvis - Speech Synthesis",["D",1741933764125],{"_270":-7,"_271":-7,"_82":-7,"_64":-7},"/api/image/nvidia/-/collections/jarvis_speechsynthesis","https://images.pexels.com/photos/1089438/pexels-photo-1089438.jpeg?auto=compress&cs=tinysrgb&dpr=2&h=750&w=1260","latestVersionSizeInBytes","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity",[],[231,232,233,234,235,236,237,238,239],[],[],[],{"_92":267,"_241":268,"_242":269,"_244":245},{"_92":264,"_241":265,"_242":266,"_244":245},{"_92":261,"_241":262,"_242":263,"_244":245},{"_92":259,"_241":259,"_242":260,"_244":245},{"_92":255,"_241":256,"_242":257,"_244":245},{"_92":253,"_241":253,"_242":254,"_244":245},{"_92":249,"_241":250,"_242":251,"_244":245},{"_92":247,"_241":247,"_242":248,"_244":245},{"_92":240,"_241":240,"_242":243,"_244":245},"Waveglow","value","filter",{"_246":245,"_241":240},"category","label","field","Transfer Learning",{"_246":245,"_241":247},"Text to Speech","uscs_text_to_speech",{"_246":252,"_241":250},"application","Tacotron2",{"_246":245,"_241":253},"Inference","soln_inference",{"_246":258,"_241":256},"technology","Finetuning",{"_246":245,"_241":259},"Conversational AI","soln_conversational_ai",{"_246":258,"_241":262},"Audio Synthesis","uscs_audio_synthesis",{"_246":252,"_241":265},"AI","soln_ai",{"_246":258,"_241":268},"containers","helm-charts",{"_151":1244,"_153":1245},"ngcApps",[1197],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1178":1179,"_1180":1181,"_1182":1183,"_1184":1185,"_1186":283,"_181":307,"_1187":1188,"_1189":45,"_1190":133,"_1191":133,"_1192":1193,"_1194":133,"_1195":1196},"amplitude",{"_1175":1176,"_817":-7,"_1177":20},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMSUyMiUzQXRydWUlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1169":1170,"_1171":1172,"_1173":1174},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.10.0","defaultSearchSuggestions",{"_1057":385,"_1058":1059,"_1060":1061,"_1062":1063},"announcements",[],"consentState",{"_343":1047,"_1048":20,"_1049":20,"_1050":133,"_1051":1052},"consentConfig",{"_325":326,"_327":328,"_329":330,"_331":332,"_333":334,"_335":336,"_337":338,"_339":340,"_341":342,"_343":344},"showContactAdmin",1785122545711,[],[],[321,322,323],{"_34":49,"_36":59,"_38":146,"_40":-5,"_42":-5,"_44":45},{"_34":46,"_36":47,"_38":39,"_40":41,"_42":324,"_44":45},{"_34":35,"_36":37,"_38":39,"_40":41,"_42":43,"_44":45},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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Name / Version	Repository	Modified
Speech Synthesis English Tacotron2trainable_v1.0	nvidia/tlt-jarvis/speechsynthesis_english_tacotron2	04/04/2023 UTC
Speech Synthesis Waveglowdeployable_v1.0	nvidia/tlt-jarvis/speechsynthesis_waveglow	04/04/2023 UTC