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Riva Speech Clients
Container
NVIDIA
Riva Speech Clients

Sample clients for Riva Speech Skills.

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What Is Riva Speech Clients?

Riva Speech Clients is a Docker image containing sample command-line drivers for the Riva services. Pull and run the container by using the commands below. The client expects that a Riva server is running with models deployed, and all command-line drivers accept an optional argument to specify the location of the server. No GPU is required to run the sample clients.

Running Riva Speech Clients

Procedure

  1. Select the Tags tab and locate the container image release that you want to run.
  2. In the Pull Tag column, click the icon to copy the docker pull command.
  3. Open a command prompt and paste the pull command. The pulling of the container image begins. Ensure the pull completes successfully before proceeding to the next step.
  4. Run the container image.

If you have Docker 19.03 or later, a typical command to launch the container is:

docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/riva/riva-speech-client:x.x.x

If you have Docker 19.02 or earlier, a typical command to launch the container is:

nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/riva/riva-speech-client:x.x.x

Where:

  • -it means run in interactive mode
  • --rm will delete the container when finished
  • -v is the mounting directory
  • local_dir is the directory or file from your host system (absolute path) that you want to access from inside your container.
  • container_dir is the target directory when you are inside your container.
  • x.x.x is the version of Riva Speech Skills. For example, 1.3.0-beta.

For more information about using NGC, refer to the NGC Container User Guide.

Suggested Reading

For the latest release specific documentation, refer see the Release Notes.

For a full list of the supported hardware and software, refer to the Support Matrix.

For all other documentation, refer to the User Guide.

License

By pulling and using Riva software, you accept the terms and conditions of this license.

Publisher
NVIDIA
Latest Tag2.4.0
UpdatedAugust 4, 2022 UTC
Compressed Size703.85 MB
Multinode SupportNo
Multi-Arch SupportYes

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