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This is the Wiki that goes with the Speech Recognition Virtual Kitchen's Github repository. If you are looking for ready-to-run VMs (or if this site looks too messy), go to the main website. This repository contains the corresponding source code (if available). Typically, we provision with Vagrant, but some machines are also (or only) available as Docker containers.

Documentation is available for Vagrant, Docker, and AWS.

Available Machines

Using the code in these repositories, you can build a VM (or a container) locally. You can then easily make changes, or build the VM so that it runs optimally on your own cluster or various cloud providers.

• Prix Fixe (A very basic VM - coming soon)
• offline-transcriber This is an installation of Tanel Alumaes kaldi-offline-transcriber in a Docker container, using the live-decode approach
• swbd-transcriber This transcribes telephony conversations, using the offline-transcriber.
• ivw (Interaction in Virtual Worlds)
• Mario XFCE
• Mario Base Box
• Kaldi Base Box [//]: # (* Arabic Transcriber) [//]: # (WIKI)
• tedlium a fully open-source Kaldi training setup which also has a graphical user interface with error analysis for speech developers.

Add-On Experiments

Some repositories do not contain code to re-build a VM, but contain "add-on" stuff that you can install into an existing VM in order to install its functionality.

• Kaldi Language Model Builder an add-on to Kaldi experiments to build language models from sample text KaldiLmBuild