Texto de reconhecimento para o Motrix
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Welcome to Microsoft's Speech Recognition Training Wizzard.
Please read the text in a natural and even tone.

As you read the text, each recognized word is highlighted.
A mispronunciation or mistake will cause the wizard to stop highligting words.
The wizard will then back up to the last pause detected

If you get stuck on a word that the system will no accept
pressing the "Skip Word" button will cause the system to skip a word,
after which you may proceed with training.

Although each training session is short you may with to take take a
break from time to time.
To pause the training session simply press the "pause" button.
To resume training simply hit the "Resume" button.
Note that the "Skip Word" button is disabled while training is paused.

If you happen to mispronounce a word, and the system recognizes it
and continues, do not worry about correcting this.  
The system will accommodate this without adverse affects.

Finally, note that the "Next" button will cause the training session
to terminate early.  The system will then use the available data to
update information regarding your voice.
The "Back" and "Cancel" buttons will discard all data from the current
training sessions after a confirmation dialog.

Speech recognition is an exciting technology that promeses to change
the way we interact with computers in the future.  
This technology has been under development for more than three decades
at university, corporate and government research labs.

Recent advances in speech recognition technology coupled with
the advent of modern operating systems and high powered affordable
personal computers has culminated in the first speech recognition
systems that can be deployed to a wide community of users.

While speech recognition technology has made great strides
in recent yeards, scientists are still working hard to overcome
the remaining limitations of the technology.

Understanding some of these limitations will help you get the most
out of this or any speech recognition system that you encounter.

The first thing to remember is that the microphone hears everything, but
sometimes not very well!  Think about how many times you have heard
a Public Address announcement at an Airport, Train Station or Stadium,
but you were unable to understand what was said.

There are many reasons that this may have been the case.  Perhaps it
was too noisy, or the person did not speak carefully or spoke too quickly,
or the microphone may have been of poor quality or adjusted incorrectly.
Or perhaps they just said something unexpected.

Each one of these problems affects the performance of speech recognition systems;
noise, careless speech, rapid speech, or simply saying something that the system
isn't expecting.  While speech recognition systems attempt to compensate for
each of these problems, eventually they cause the system not to function as desired.

Therefore it is important to keep noise to a minimum when speaking to the system.
This can be greatly aided by the proper use of a good quality headset microphone.

Ideally, just as you avoid leaning on the keyboard you should leave the microphone
turned off when you are not planning to speak to the system.

When you do speak to the system, speak carefully and clearly using the words
and phares that the application is designed to respond to.

Finally, if the system is not responding as desired, please consider running the
Microphone Setup Wizard and providing additional training sessions.  You may also
find it helpful to adjust the recognition options that control accuracy and rejection.

By increasing the accuracy slider, you may slow down the response time of
the computer but you will increase the accuracy of the recognized speech.
By changing the rejection slider you can trade off misrecognitions against rejection
of your input.  See the application help to determine how to access there options.

Thank you for taking the time to train Microsoft Speech Recognition so that
it can better recognize the words you speak.  This now concludes the Introduction
to Microsoft Speech Recognition training session.  Thank you very much for your time,
and happy speaking.