Benchmarks from Gigaom are encouraging as shown in the table below, but I am not aware of any good wrapper around to make it usable without quite some coding (and a large training data set): On Microsoft Windows I use Dragon NaturallySpeaking, on Apple Mac OS X I use Apple Dictation and DragonDictate, on Android I use Google speech recognition, and on iOS I use the built-in Apple speech recognition.īaidu Research released yesterday the code for its speech recognition library using Connectionist Temporal Classification implemented with Torch. As for Wine + Dragon NaturallySpeaking, in my experience it keeps crashing, and I don't seem to be the only one to have such issues unfortunately. By poor accuracy, I mean an accuracy significantly below the one the speech recognition software I mentioned below for other platforms have.
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