There are quite many solutions around to build an open source speech recognition system for low-resource device and it's quite hard to choose. For example you need a speech recognition system for a platform like Raspberry Pi and you consider between HTK, CMUSphinx, Julius and many other implementations.
In order to make an informed decision you need to consider a set of features
specifically required to run speech recognition in a low-resource environment. Without them your system will probably be accurate but it also will consume too much resources to be useful. Some of them are:
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