What Is Riva Speech Skills?

Riva Speech Skills is a Docker image containing a toolkit for production-grade conversational AI inference. The Riva Speech API server exposes a simple API for performing speech recognition, speech synthesis, and a variety of natural language processing inferences. Pull and run the container by using the commands below. No GPU is required to run the sample clients.

Running Riva Speech Skills

Procedure

\n
Select the Tags tab and locate the container image release that you want to run.
\n
\n
In the Pull Tag column, click the icon to copy the docker pull command.
\n
\n
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.
\n
\n
Run the container image.
\n
If you have Docker 19.03 or later, a typical command to launch the container is:
\n
```
docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/riva/riva-speech:x.x.x-server\n
```
\n
If you have Docker 19.02 or earlier, a typical command to launch the container is:
\n
```
nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/riva/riva-speech:x.x.x-server\n
```
\n
Where:
\n
- -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.
\n

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

License

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

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The Riva Speech API server exposes a simple API for performing speech recognition, speech synthesis, and a variety of natural language processing inferences. Pull and run the container by using the commands below. No GPU is required to run the sample clients.\n\n## Running Riva Speech Skills\n\nProcedure\n1. Select the **Tags** tab and locate the container image release that you want to run.\n2. In the **Pull Tag** column, click the icon to copy the **`docker pull`** command.\n3. 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.\n4. Run the container image. \n\n If you have Docker 19.03 or later, a typical command to launch the container is:\n ``` \n docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/riva/riva-speech:x.x.x-server\n ```\n \n If you have Docker 19.02 or earlier, a typical command to launch the container is:\n ``` \n nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/riva/riva-speech:x.x.x-server\n ```\n \n Where:\n - `-it` means run in interactive mode\n - `--rm` will delete the container when finished\n - `-v` is the mounting directory\n - `local_dir` is the directory or file from your host system (absolute path) that you want to access from inside your container. \n - `container_dir` is the target directory when you are inside your container. \n - `x.x.x` is the version of Riva Speech Skills. For example, `1.3.0-beta`.\n \nFor more information about using NGC, refer to the [NGC Container User Guide](https://docs.nvidia.com/ngc/ngc-user-guide/index.html).\n\n## Suggested Reading\n\nFor the latest release specific documentation, refer see the [Release Notes]( http://docs.nvidia.com/deeplearning/riva/user-guide/docs/release-notes.html).\n\nFor a full list of the supported hardware and software, refer to the [Support Matrix]( https://docs.nvidia.com/deeplearning/riva/user-guide/docs/support-matrix.html).\n\nFor all other documentation, refer to the [User Guide]( http://docs.nvidia.com/deeplearning/riva/deeplearning/riva/user-guide/docs/index.html).\n\n## License\n\nBy pulling and using Riva software, you accept the terms and conditions of this 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If you do not allow these cookies, then some or all of these services may not function properly.",4,[723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747],[694,695,696,697,698],{"_531":607,"_95":607,"_94":533,"_504":718},{"_531":581,"_95":581,"_94":533,"_504":713},{"_531":708,"_95":708,"_94":533,"_504":709},{"_531":703,"_95":703,"_94":533,"_504":704},{"_531":699,"_95":699,"_94":533,"_504":700},"nvidia.partners",[701],{"_498":702,"_538":699,"_539":26,"_94":575},"edge","app.hushly.com",[705],{"_498":706,"_538":703,"_539":26,"_94":707},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[710],{"_498":711,"_538":708,"_539":26,"_94":712},"_octo","This domain is owned by Github. 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These cookies may store a unique ID so that our system will remember you when you return. 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