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","collectionCounts","imageUrl","/api/image/nvidia/tao/resources/texttospeech_notebook","rawImageUrl","https://dz112fgwz7ogh.cloudfront.net/logos/Nvidia-Centric-TAO-RIVA.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[307,308,309,310,311],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_276":328,"_313":328,"_314":329,"_316":89},{"_276":326,"_313":326,"_314":327,"_316":89},{"_276":322,"_313":323,"_314":324,"_316":89},{"_276":318,"_313":319,"_314":320,"_316":89},{"_276":312,"_313":312,"_314":315,"_316":89},"Transfer Learning","value","filter",{"_317":89,"_313":312},"category","field","Text to Speech","uscs_text_to_speech",{"_317":321,"_313":319},"application","Inference","soln_inference",{"_317":325,"_313":323},"technology","HiFiGAN",{"_317":89,"_313":326},"FastPitch",{"_317":89,"_313":328},{"_181":1311,"_183":1312},"ngcApps",[1264],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1245":1246,"_1247":1248,"_1249":1250,"_1251":1252,"_1253":341,"_111":369,"_1254":1255,"_1256":60,"_1257":92,"_1258":92,"_1259":1260,"_1261":92,"_1262":1263},"amplitude",{"_1242":1243,"_882":-7,"_1244":35},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1236":1237,"_1238":1239,"_1240":1241},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1786586366972,"1.11.0","defaultSearchSuggestions",{"_1122":450,"_1123":1124,"_1125":1126,"_1127":1128},"announcements",[],"consentState",{"_407":1112,"_1113":92,"_1114":35,"_1115":35,"_1116":1117},"consentConfig",{"_389":390,"_391":392,"_393":394,"_395":396,"_397":398,"_399":400,"_401":402,"_403":404,"_405":406,"_407":408},"showContactAdmin",1786586366973,[],[],[383,384,385,386,387,388],{"_49":64,"_51":75,"_53":176,"_55":-5,"_57":-5,"_59":60},{"_49":64,"_51":71,"_53":176,"_55":-5,"_57":-5,"_59":60},{"_49":64,"_51":69,"_53":176,"_55":-5,"_57":-5,"_59":60},{"_49":64,"_51":65,"_53":176,"_55":-5,"_57":-5,"_59":60},{"_49":61,"_51":62,"_53":176,"_55":-5,"_57":-5,"_59":60},{"_49":50,"_51":52,"_53":176,"_55":-5,"_57":-5,"_59":60},"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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	Files	Compressed Size
v1.3.0	4	168.4 KB	January 4, 2023 UTC
v1.2.1	4	156.05 KB	September 15, 2022 UTC
v1.2.0Selected	4	156.04 KB	June 2, 2022 UTC
v1.1.1	3	232.73 KB	May 18, 2022 UTC
v1.1	2	50.56 KB	April 7, 2022 UTC
v1.0	2	35.89 KB	November 23, 2021 UTC