![]() There exist some very alpha open-source projects: ![]() Clean (94), is the number of utterances scored. The number in the parentheses next to each dataset, e.g. All systems are scored only on the utterances with predictions given by all systems. Table 4: Results (%WER) for 3 systems evaluated on the original audio. 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. Wine + Dragon NaturallySpeaking + NatLink + dragonfly + damselflyĪll the above-mentioned native Linux solutions have both poor accuracy and usability (or some don't allow free-text dictation but only voice commands).silvius (built on the Kaldi speech recognition toolkit).IBM ViaVoice (used to run on Linux but was discontinued years ago).I have unsatisfyingly tried the following: It should not be restricted to voice commands, as I want to be able to dictate text. The short version of the question: I am looking for a speech recognition software that runs on Linux and has decent accuracy and usability.
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