Audiocodes VoiceGateway Sample
Contents
Audiocodes VoiceGateway Sample¶
This is an implementation of the AudioCodes VoiceGateway API as defined in Voice.Ai Gateway API Version 2.2 The WebSocket bridge is a Node.js application, intended to run in a Linux environment.
It accepts incoming api calls over WebSockets and translates them to the corresponding gRPC calls into Riva. It is expected to be deployed in to IVR or similar scenarios.
This project is open source and publicly available with additional details found here: websocket-bridge <https://github.com/nvidia-riva/websocket-bridge>_
Requirements¶
Currently streaming ASR is supported. Riva Speech Services need to be setup and configured to respond to streaming ASR requests, with the following models:
Streaming ASR
Punctuation (optional)
For additional information regarding ASR services within Riva, please see Speech Recognition <https://docs.nvidia.com/deeplearning/riva/user-guide/docs/service-asr.html>_
Installation¶
Pull the sample image from NGC.
```bash
$ docker pull nvcr.io/nvidia/riva/websocket-bridge:2.0.0
```
Run the service within a Docker container in the background accepting connections on port 8009, with a Riva implementation running at riva.hostname.tld:50051
$ export PORT=8009 $ docker run -d --rm -p $PORT:$PORT -e PORT=$PORT -e RIVA_API_URL=riva.hostname.tld:50051 nvcr.io/nvidia/riva/websocket-bridge:2.0.0
Environment variables manage configuration parameters for the WebSocket port and the Riva URI. These are kept in env.txt configuration file,
where you can to set the URL of your running Riva AI Services.
Running the Service¶
The service is launched automatically by the container. For further information and development details please refer to websocket bridge <https://github.com/nvidia-riva/websocket-bridge>_