After a few weeks’ worth of use, I must say I am continually impressed by Nuance’s latest offering of voice recognition software. Things have been slow going as I have been completely bogged down with school, but with sporadic use while watching television (with the sound low) and late-night use in bed, the Motion F5 coupled with voice recognition software has eliminated my use of the stylus.
One of the hardest things about getting used to speech recognition software is the ability to tell your computer what to do. Saying, “Start Windows Live Writer” will start the application without even touching the computer. When I browse the internet, I can say, “go to search” and it will put the cursor in the search field. What I have found with speech recognition, however, is how hardware dependent the software is. Without a lackluster single-core processor of 1.4GHz coupled with only 2GB of RAM, operations like starting an application can be quite the wait. There are also times when I would say something and there would be a big lag between when I say it and when the words appear. This has led to many duplicate sentences during my time using Dragon. Extending the hardware topic, I have found that retraining the software to correct for my style of speaking and correcting any errors has led to a great increase in accuracy. In spite of the poor quality of the built-in microphone array, Dragon has proved to be a capable learner. It can actually learn your style of speaking with adequate corrections. Over the last few days, I have tried to install the BT headset that John sent me, but I can’t for the life of me get it to work with the F5. Even though the headset pairs with the computer, the microphone has not worked. It’s definitely not an issue with the headset as I have been able to successfully pair it with my T2010 and even the T-Mobile Wing I have. I will continue to try and resolve this issue and report back once I get the BT headset to work. I can’t wait to see how Dragon NaturallySpeaking performs with a dedicated headset.
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