Reduce Your Writing Time With Speech Recognition Software

I am always considering means of cutting down my writing time over all. One way to reduce writing time is using speech recognition software. I had heard of software programs such as dragon naturally speaking but never really invested enough time or thought into using them. Because we only have 24 hours available but between answering messages, writing blog articles, article marketing and writing articles it had been required to find methods for getting more time in the afternoon.

Integral Voice Acceptance

I first started using the integral speech recognition capabilities of Windows on my Toshiba. First, I am a person and honestly I did not expect much. I installed my microphone/web camera into the notebook and mentioned the speech recognition from the start-up menu. The original set-up takes you via a number of questions and also offers you repeat lines therefore the the application may "learn" you speech. After four hours of playing about I was willing to stop trying. My wife suggested I personally use her Plantronics Stereo PC Headset, since my microphone was picking right up every sound in the home.

I mounted my wife's headset into the laptop and began the process again. Just what a big difference! Not merely was the integrated speech identification picking up on my enunciation, however it was writing what within a few minutes after I talked. A simple demand corrects the concern and the device learns, If the plan makes an error. It's still faster than writing a write-up out, although the built-in recognition process does make some basic mistakes every now and then. One drawback concerning the integral characteristic is that it operates only on Microsoft software. Might work around is simply to influence directly into Word Pad and execute a basic copy and paste afterward.

Dragon Naturally Speaking 10 Regular

I decided to spend money on dragon naturally talking 10 Standard if there were more capabilities to see, since the integrated software was my first initiation into voice recognition capabilities. I have observed many individuals talking over the last year about DNS, but had never given it an additional thought.

I skipped over the work out and mounted Dragon Naturally Speaking 10 Standard. I dictated a web log posting I'd written previously. To my surprise there have been only 6 mistakes out of a 995 word article. That wasn't bad considering there was no voice training.

Another aspect of DNS that I prefer over the integrated features may be the easy directions. For example: To underline "lamp post," the model requires you to state "Select lamp post," then you must say,"underline lamp post". After your commands are finished by you, another command of "go to end of document" is important to create the cursor back again to the end so you may start dictating. Dragon Naturally Speaking simply requires a single command of "Underline lamp post." It underlines the word and quickly moves the cursor back again to the end of the report.

The disadvantage to Dragon Naturally Speaking Standard is that it's not appropriate for a radio headset. Again, I employed my wife's plug-in headset when dictating. Because it is not able to use instant, it may not be ideal for a Mac. There are updates to DNS available however, in the event that you choose this way and need to go wireless.

Depending upon simply how much writing you actually do, the cheaper approach is to utilize the built-in features on your pc along with a quality headset like the Plantronic 10. Although DNS is a bit more correct and may use other software packages besides Microsoft, the money you spend might be utilized on other things such as syntax and plagiarism checkers if the voice recognition is mainly used by you for writing several articles a day. The main element to any of these speech recognition capabilities, including Dragon Naturally Speaking 10 Standard, really rests on the microphone you utilize.

Source: http://forum.yola.com/yola/topics/reduce_your_writing_time_with_speech_recognition_software

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