![]() ![]() Transcription from speech spoken through the mic provided is accurate as you can see below.īut transcriptions from recordings result in gibberish and you'll have to make so many corrections that you'd be better off doing it manually to begin with.#UPDATE TO ORIGINAL POST# Mac OS X 10.7 Lion was released worldwide on 20th July, 2011 I have personally upgraded from 10.6 (Snow Leopard) to 10.7 (Lion) with Dragon Dictate 2.0.3 installed with no issues. It will then carry on this training period for another 60 seconds before setting off in transcribing the whole audio file. ![]() You then have to accept text it got right (you listen to snippets of audio) or ignore it. This means the application listening to 90 seconds of recording and then outputting text. m4v.īefore processing a file for transcription, you need to set up a profile for it. Dragon can accept audio in any popular format such as. Has Nuance managed to solve the problem of having to manually transcribe recordings with the latest version of the software? In theory, this feature should make it easy to gleam notes from recordings of lectures, phone calls or meetings. If you don't, the dictation will be one huge chunk of text. ![]() While you don't have to talk like a robot, you're still required to recite punctuation out loud and this takes getting used to. Dictation technology remains unable to assess when punctuation is needed, so you still have to complete sentences by saying "full stop" or insert pauses by saying "comma". This allows you to tune it up, with the expectation it will make fewer errors down the line. Obviously, the more processing power your machine has, the smoother Dragon Dictate will run.Īfter installation, your first task is to train the software. This should benefit in reduced latency over previous versions and quicker editing. In reality this means that it will happily turn speech into text without hogging system resources. The application is now pure 64-bit and so enables higher performance and improved memory management. Nuance recommends using a machine with at least an Intel Core i3 processor and 4GB of RAM. ![]()
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