NVIDIA? Riva, a premium edition of NVIDIA AI Enterprise software, is a GPU-accelerated speech and translation AI SDK for building and deploying fully customizable, real-time AI pipelines that deliver world-class accuracy in all clouds, on premises, at the edge, and on embedded devices.
See Riva in Action
Try NVIDIA Riva Automatic Speech Recognition
Select the language and check out how Riva ASR delivers highly accurate transcription in real time by providing an input through your microphone or uploading a .wav file from your device.
Note: The duration of each sample is limited to 30 seconds.
Try NVIDIA Riva Text-to-Speech
Select a voice and type in a test sentence to hear Riva’s out-of-the-box English female or male voice.
Note: Input text is limited to 400 characters.
Ways to Get Started With NVIDIA Riva
Purchase Riva for Production Deployment
Get unlimited usage on all clouds, access to NVIDIA AI experts, and long-term support for production deployments with a purchase of NVIDIA Riva.
Contact Us to Learn More About Purchasing Riva
Apply to Try Riva on NVIDIA LaunchPad
Get Access to Riva AI Workflows
Accelerate development time with packaged AI workflows for audio transcription and intelligent virtual assistants.
Learn More About the Transcription Workflow
Learn More About the Intelligent Virtual Assistant Workflow
Download Containers and Models for Development
Develop voice-enabled applications for cloud, data center, or embedded deployments with Riva containers and pretrained models, available in a free 90-day trial on NVIDIA NGC? to members of the NVIDIA Developer Program.
Download Now for Cloud and Data Center
Download Now for Embedded
Get step-by-step instructions for deploying pretrained models as services on a local workstation and how to interact with them through a client.
Learn about Riva’s architecture, key features, and components for building speech AI services.
Build and deploy end-to-end speech AI pipelines using NVIDIA Riva.
See how Computacenter, Tarteel, Floatbot, Minerva CQ and others use Riva for transcription, translation, and voice of their agent assists, AI virtual assistants, and digital humans.
Development Starter Kits
Access everything you need to start developing your speech and translation AI application with NVIDIA Riva containers and models, including tutorials, notebooks, forums, release notes, and documentation.
Automatic Speech Recognition
Achieve high transcription accuracy for English, Spanish, Mandarin, Hindi, Russian, Korean, German, Portuguese, and French and two out-of-the-box expressive professional female and male voices for U.S. English with state-of-the-art models pretrained on thousands of hours of audio on NVIDIA supercomputers.
- Speech Recognition Documentation
- Quick Start Guide
- Tutorial: Use Riva ASR Out-Of-The-Box
- Tutorial: Riva ASR Customization
- Sample App: Riva Contact Center Video Conference
- Sample App: Virtual Assistant with Rasa
Customize across ASR pipelines for different languages, accents, domains, vocabulary, and context for the best possible accuracy for your use case, and across TTS pipelines for the voice and intonation you want.
- TTS Documentation
- Quick Start Guide
- Documentation: TTS Service Sample
- Documentation: TTS SSML Sample
- Sample App: Virtual Assistant with RASA
Neural Machine Translation
Integrate highly accurate speech to text or speech to speech translation for up to 31 languages into your conversational application pipelines.
- NMT Documentation
- Quick Start Guide
- Tutorial: Use Riva NMT Out-Of-The-Box
Demo Video Tutorials
Learn to set up and start using Riva—from accessing NVIDIA NGC, and working with the NGC Riva Skills Quick Start, to running inference with ASR and TTS models.
Learn anytime, anywhere, with just a computer and an internet connection through the NVIDIA Deep Learning Institute (DLI).
Early Access Programs
Riva Studio is a low-code service that simplifies and accelerates the creation, customization, and deployment of enterprise speech AI applications.
Apply for Early Access
NVIDIA platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Also, work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that 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.
Stay up to date on the latest speech AI news from NVIDIA