For just about any task you care to name, a Linux-based desktop computer can get the job done using applications that rival or exceed those found on other platforms. However, that doesn’t mean it’s always easy to get it working, and speech recognition is just one of those difficult setups.
A project called Voice2JSON is trying to simplify the use of voice workflows. While it doesn’t provide the actual voice recognition, it does make it easier to get things going and then use speech in a natural way.
The software can integrate with several backends to do offline speech recognition including CMU’s pocketsphinx, Dan Povey’s Kaldi, Mozilla’s DeepSpeech 0.9, and Kyoto University’s Julius. However, the code is more than just a thin wrapper around these tools. The fast training process produces both a speech recognizer and an intent recognizer. So not only do you know there is a garage door, but you gain an understanding of the opening and closing of the garage door.
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