Posts Tagged ‘element’

All come everybody.  My name is Jeffrey hours.  I am doing well.  How are you doing?

Guess what?  I am using the speech recognition in windows seven to make this article.  I do not have to type, or even get out of bed.  All I need is a good microphone, and a lot of patients.
It is not 100%, but so far, it has done OK.  There are some things that I’ve actually had to redo, but most of the time it’s my impatience that causes errors.  The best part is all I have to say is the word UNDO, and it will all be undone.

I suppose one problem with doing speech recognition is that you don’t learn the mistakes of spelling.  Even while typing in something; whether it be a article, a BLOG, or anything of the sort, I would notice when I make spelling mistakes and quickly correct them, while trying to remember what the mistake was.  Hence, I do not get the opportunity to correct my mistakes (width of the exception of the word UNDO).

One thing I notice in using speech recognition, is that I have to take my time.  I will enunciate part of the sentence, wait for response, then continue – or make corrections.  Some corrections are just overlook for now, as I will get back to them later.

I have dealt with speech recognition for a few we years now.  I understand its advantages and disadvantages.  There were a couple times I had to support people with mobile disabilities who need to use the software on a regular basis.  Otherwise, they would not be able to use the computer.

If you think that you can use the software without training it, then you are grossly mistaken.  Training the computer to your voice is a key element to making the software work.  By training the computer, less mistakes will be made.  For example, one person can say ” the” with a silent ” E”.  The next person might not.  Training will tell the computer that you pronounce the word in the with a silent E.

One thing to remember is to not get frustrated over the speech recognition.  Take your time, watch what you say, and make corrections accordingly.  Sometimes, you might just have to go back and manually correct.

I have left the mistakes in this article to prove a point.  There have been a couple lines I have redone simply because of the fact that it wouldn’t get my point across.  But in general, there has not been any altering to this message.

Now all in hopes to show you something, I will read at normal speed and we’ll see how correct the computer will be.  I will continue on with punctuation.  It goes like this:

Well, a Federal judge ruled and Psystar lost the case.  Apple is definitely showed the hand of god here.  But the real question is: will it be the end of that?  Hopefully not.
On Friday, Judge William Alsop sided with apple that Psystar had in the dot violated the end user license agreement.  He ruled that the installation of the Mac OS on non Apple’s hardware is not allowable.  Therefore, Psystar must discontinue their line of Mac clones.  Finally, he will rule that Psystar as counter claims are not arguable since Psystar altered to the Mac Software to run on other machines.

This was an article I wrote last week.

If you decide to start using speech recognition, you will need a couple things.  The first is patients; it’s not going to be 100% correct.  Secondly, you will need a good microphone.  Right now I am talking through my professional rig.  If you get a USB mike, make sure it has NOISE cutting capability, so if the dog barks in the background, it doesn’t affect your session too much.  Finally, make sure your computer’s sound card can handle the situation.  If your sound card produces a lot of what is called ” white noise”, then you might be stopping and correcting yourself a lot.
I hope that this is help you in determining whether you want to use the speech recognition or not.  When properly trained, this could actually be a very valuable tool to you.  And the best part is its only gonna get better in the future.

But you should really learn how to spell…

**To start using the Speech recognition, simply go to start, then type in “Speech Recognition” in the search area**

Ashton hit 1 million – he was the first – on Twitter. Oprah is at 83,000. CNN, Ellen, Jimmy Fallon, Barack Obama and Shaq are those who make the top list of Twitter Followed profiles.

It seems Twitter is getting us closer to people we see on Radio, TV and Movies. You can find out what someone is doing from wherever you and they are. You can use your computer, phone, mobile device or mental telepathy – if you have an API written for it.

Then there is the chance that you might reply to @aplusk. Then you can say “Ashton talked back to me.” Well, maybe it’s his assistant who’s job it is to watch the twitter account. Even though Ashton is following 73, he can see all the @ replies.

There are those who are trying to find a way to get more followers. The best way would be if you did get a @ reply from Ashton. Really – it’s true: I have seen where I would @ a person, they would @ me back and I saw my followers jump up. And, No – it’s not all spammers and “Qwitters” (People that unfollow you after so many days hoping you will follow them).

Think about it – It’s like if you went to California, ran into Ashton and he said “Hey! Let’s go to Element and have a drink”. You walk up to the door and Ashton shakes hands with the security in the front, then says “Hey, this guy’s with me”. You then walk in without your name being on the guest list. All of a sudden you have people looking at you.

OK, I sensationalized the Twitter experience a little more than usual. But the same result is true. You have a few people going “I wonder what @geekazine is like…”

Now don’t expect to start @aplusk on every twitter he sends. It might get him to block you. It might get your account suspended by Twitter.

Twitter is a great tool to get your name across. If it wasn’t for the social Microblogger, I wouldn’t have met a lot of the people in my profession. I still have a lot to go. Maybe I’ll hit 1 million followers. I suppose I would need to create a million twitter accounts to do that….

BTW – twitter me @geekazine