Welcome to the trial of NVIDIA Riva on NVIDIA LaunchPad!
NVIDIA Riva is a GPU-accelerated SDK (software development kit) for building Speech AI applications that are customized for your use case and deliver real-time performance. Riva is built on a decade of AI innovations by NVIDIA across hardware, model architectures, training techniques, inference optimizations, and deployment solutions.
As speech-based applications are adopted globally, solutions need to interact with humans across many languages. Speech AI apps need to understand industry specific jargon and respond naturally in real-time. Riva includes world-class automatic speech recognition (ASR) and text-to-speech (TTS) that runs in real time.
Try NVIDIA Riva Automatic Speech Recognition
In this demo, you'll see Riva speech recognition deliver highly accurate transcription in real time. You can provide an input through your microphone or upload a .wav file from your device.
The duration of each sample is limited to 30 seconds.
Try saying something
Try NVIDIA Riva Text-to-Speech
If you're looking to add voice to your interactive virtual assistant, modern home device, or reading assistant for the visually impaired or for people with a reading disability, try Riva's out-of-the-box English female or male voice.
Hear the natural-sounding and expressive voices created using Riva's state-of-the-art neural speech synthesis models.
In this lab, you will learn how to use NVIDIA Riva Streaming Speech APIs to add voice support to a weather virtual assistant application on LaunchPad. It includes a brief overview of the virtual assistant application, a walkthrough of the streaming ASR and TTS Python APIs, followed by short exercises for you to delve into the code to learn from the example.
If you would like to learn about how to set up the default Riva’s Speech AI server, the instructions have been provided in the Setup a Speech AI Server with Speech Recognition and Text-to-speech Models section. This guide is entirely optional for the purposes of this lab.
This lab should take roughly 90 minutes to complete.
Please use Chrome or Firefox when trying the weather VA sample in this lab. The Web Audio APIs used to handle audio in the application works best with these browsers.