Text to Speech

TTS, Text-To-Speech or Speech Synthesis refers to the problem of getting a program to generate human voice output output from text. TAO Toolkit supports a two-stage pipeline for TTS:

A spectrogram model to generate a Mel spectrogram from text (FastPitch)
A vocoder model to generate audio from a Mel spectrogram (HiFiGAN)

Our goal here is to generate FastPitch and HiFiGAN model, that when cascaded generates a good quality human voice from text.

The best place to get started with TAO Toolkit - TTS would be the TAO - TTS jupyter notebooks sample enclosed in this sample.\nThis resource has three notebooks included.

Training: Sample workflow for training FastPitch spectrogram generator model and a HiFiGAN vocoder model and export them to a .riva file
Finetuning: Sample workflow to finetune a FastPitch spectrogram generator model and a HiFiGAN vocoder model from another pretrained FastPitch and HiFiGAN model.
Deployment: Sample workflow to consume the .riva files and deploy it to Riva.

If you are a seasoned Conversation AI developer we recommend installing TAO and referring to the TAO documentation for detailed information.

Pre-Requisites

Please make sure to install the following before proceeding further:

python 3.6.9
python-dev
docker-ce > 19.03.5
docker-API 1.40
nvidia-container-toolkit > 1.3.0-1
nvidia-container-runtime > 3.4.0-1
nvidia-docker2 > 2.5.0-1
nvidia-driver >= 455.23

Note: A compatible NVIDIA GPU would be required.

Installation

We recommend that you install TAO Toolkit inside a virtual environment. The steps to do the same are as follows

\nsource /bin/activate\npip install jupyter notebook # If you need to run the notebooks\n\">

virtualenv -p python3 <name of venv>\nsource <name of venv>/bin/activate\npip install jupyter notebook # If you need to run the notebooks\n

TAO Toolkit is a python package that is hosted in nvidia python package index. You may install by using python’s package manager, pip.

pip install nvidia-pyindex\npip install nvidia-tao\n

To download the jupyter notebook please:

Download the samples using the ngc cli with the following command

ngc registry resource download-version \"nvidia/tao/texttospeech_notebook:v1.1\"\n

Instantiate the jupyter notebook server

jupyter notebook --ip 0.0.0.0 --allow-root --port 8888\n

License

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

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TAO Toolkit supports a two-stage pipeline for TTS:\n\n1. A spectrogram model to generate a Mel spectrogram from text (FastPitch)\n2. A vocoder model to generate audio from a Mel spectrogram (HiFiGAN)\n\nOur goal here is to generate FastPitch and HiFiGAN model, that when cascaded generates a good quality human voice from text.\n\nThe best place to get started with TAO Toolkit - TTS would be the TAO - TTS jupyter notebooks sample enclosed in this sample.\nThis resource has three notebooks included.\n\n1. Training: Sample workflow for training FastPitch spectrogram generator model and a HiFiGAN vocoder model and export them to a `.riva` file\n2. Finetuning: Sample workflow to finetune a FastPitch spectrogram generator model and a HiFiGAN vocoder model from another pretrained FastPitch and HiFiGAN model.\n3. Deployment: Sample workflow to consume the `.riva` files and deploy it to Riva.\n\nIf you are a seasoned Conversation AI developer we recommend installing TAO and referring to the [TAO documentation](https://docs.nvidia.com/tao/tao-toolkit/text/overview.html) for detailed information.\n\n## Pre-Requisites\n\nPlease make sure to install the following before proceeding further:\n\n* python 3.6.9\n* python-dev\n* docker-ce > 19.03.5\n* docker-API 1.40\n* nvidia-container-toolkit > 1.3.0-1\n* nvidia-container-runtime > 3.4.0-1\n* nvidia-docker2 > 2.5.0-1\n* nvidia-driver >= 455.23\n\n*Note: A compatible NVIDIA GPU would be required.*\n\n## Installation\n\nWe recommend that you install TAO Toolkit inside a virtual environment. The steps to do the same are as follows \n\n```sh\nvirtualenv -p python3 \nsource /bin/activate\npip install jupyter notebook # If you need to run the notebooks\n```\n\nTAO Toolkit is a python package that is hosted in nvidia python package index. You may install by using python’s package manager, pip.\n\n```sh\npip install nvidia-pyindex\npip install nvidia-tao\n```\n\nTo download the jupyter notebook please:\n\n1. Download the samples using the ngc cli with the following command\n\n ```sh\n ngc registry resource download-version \"nvidia/tao/texttospeech_notebook:v1.1\"\n ```\n\n2. Instantiate the jupyter notebook server\n\n ```sh\n jupyter notebook --ip 0.0.0.0 --allow-root --port 8888\n ```\n\n## License\n\nBy downloading and using the models and resources packaged with TAO Toolkit Conversational AI, you would be accepting the terms of the Riva [license](https://developer.nvidia.com/riva/ga/license)","displayName","Text to Speech Notebook",["D",1680632257986],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/tao/resources/texttospeech_notebook","rawImageUrl","https://dz112fgwz7ogh.cloudfront.net/logos/Nvidia-Centric-TAO-RIVA.png","canGuestDownload","latestVersionSizeInBytes",172438,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[259,260,261,262,263],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_226":281,"_265":281,"_266":282,"_268":269},{"_226":279,"_265":279,"_266":280,"_268":269},{"_226":275,"_265":276,"_266":277,"_268":269},{"_226":271,"_265":272,"_266":273,"_268":269},{"_226":264,"_265":264,"_266":267,"_268":269},"Transfer Learning","value","filter",{"_270":269,"_265":264},"category","label","field","Text to Speech","uscs_text_to_speech",{"_270":274,"_265":272},"application","Inference","soln_inference",{"_270":278,"_265":276},"technology","HiFiGAN",{"_270":269,"_265":279},"FastPitch",{"_270":269,"_265":281},{"_113":1262,"_115":1263},"ngcApps",[1215],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1196":1197,"_1198":1199,"_1200":1201,"_1202":1203,"_1204":294,"_145":318,"_1205":1206,"_1207":56,"_1208":92,"_1209":92,"_1210":1211,"_1212":92,"_1213":1214},"amplitude",{"_1193":1194,"_832":-7,"_1195":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMSUyMiUzQXRydWUlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1187":1188,"_1189":1190,"_1191":1192},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.10.0","defaultSearchSuggestions",{"_1072":399,"_1073":1074,"_1075":1076,"_1077":1078},"announcements",[],"consentState",{"_357":1062,"_1063":92,"_1064":31,"_1065":31,"_1066":1067},"consentConfig",{"_339":340,"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358},"showContactAdmin",1784816414432,[],[],[332,333,334,335,336,337,338],{"_45":60,"_47":70,"_49":62,"_51":63,"_53":71,"_55":56},{"_45":60,"_47":68,"_49":62,"_51":63,"_53":69,"_55":56},{"_45":60,"_47":66,"_49":62,"_51":63,"_53":67,"_55":56},{"_45":60,"_47":64,"_49":108,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":61,"_49":62,"_51":63,"_53":20,"_55":56},{"_45":57,"_47":58,"_49":50,"_51":52,"_53":59,"_55":56},{"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56},"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	Size	Updated	Actions
text-to-speech-deployment.ipynbView Notebook	12.58 KB	November 24, 2021 UTC	curl wget Download
text-to-speech-training.ipynbView Notebook	23.31 KB	November 24, 2021 UTC	curl wget Download