botium-speech-processing

Software and Hardware Requirements

• 8GB of RAM (accessible for Docker) and 40GB free HD space (for full installation)
• Internet connectivity
• docker
• docker-compose

Note: memory usage can be reduced if only one language for Kaldi is required - default configuration comes with two languages.

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Full Installation (Prebuilt Docker Images)

Clone or download this repository and start with docker-compose:

> docker-compose up -d

This will download the latest released prebuilt images from Dockerhub. To download the latest developer images from Dockerhub:

> docker-compose --env-file .env.develop up

Point your browser to http://127.0.0.1 to open the Swagger UI and browse/use the API definition.

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Slim Cloud-Specific Installation (Prebuilt Docker Images)

For the major cloud providers there are additional docker-compose files. If using those, the installation is more slim, as there is only the frontend-service required. For instance, add your Azure subscription key and Azure region key to the file docker-compose-azure.yml and start the services:

> docker-compose -f docker-compose-azure.yml up -d

For Deepgram, add your API key to the file docker-compose-deepgram.yml and start the services:

> docker-compose -f docker-compose-deepgram.yml up -d

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Optional: Build Docker Images

You can optionally built your own docker images (if you made any changes in this repository, for instance to download the latest version of a model). Clone or download this repository and run docker-compose:

> docker-compose -f docker-compose-dev.yml up -d

This will take some time to build.