[j-say list] Re: Setup Problems.

  • From: "Randy Ingman" <ingman@xxxxxxx>
  • To: <j-say@xxxxxxxxxxxxx>
  • Date: Mon, 19 Nov 2007 12:49:17 -0600

Did you remember to restart your computer after you made the display changes? ----- Original Message ----- From: "Jim Noseworthy" <jim.noseworthy@xxxxxxxxxx>

To: <j-say@xxxxxxxxxxxxx>
Sent: Monday, November 19, 2007 11:25 AM
Subject: [j-say list] Re: Setup Problems.


No luck there either.


----- Original Message ----- From: "Randy Ingman" <ingman@xxxxxxx>
To: <j-say@xxxxxxxxxxxxx>
Sent: Monday, November 19, 2007 9:28 AM
Subject: [j-say list] Re: Setup Problems.

Try changing your display setting to the following:
resolution 1024 by 768
color quality 16 bit

When you have finished the training, you can than return these settings to
your favorite.
----- Original Message ----- From: "Martin, Sue W." <Sue.Martin@xxxxxx>
To: <j-say@xxxxxxxxxxxxx>
Sent: Monday, November 19, 2007 7:19 AM
Subject: [j-say list] Re: Setup Problems.


I'm not sure if you ever received a resolution to your problem of some
letters being left off of the training text when JAWS speaks it for you.
I'm honestly not sure of a technical fix but, below, I'll append the
training text.  Reading through it a time or two might give you enough
familiarity to fill in the missing letters when reading the training
text.  I realize this is not a fix but might be a workaround.

Begin training text:

We'd like you to read aloud for a few minutes while the computer listens
to you and learns how you speak. When you've finished reading, we'll
make some adjustments, and then you'll be able to talk to your computer
and see the words appear on your screen. In the meantime, we'd like to
explain why talking to a computer is not the same as talking to a person
and then give you a few tips about how to speak when dictating.

Understanding spoken language is something that people often take for
granted. Most of us develop the ability to recognize speech when we're
very young. We're already experts at speech recognition by the age of
three or so.

When people first start using speech-recognition software, they might be
surprised that the computer makes mistakes. Maybe unconsciously we
compare the computer to another person. But the computer is not like a
person. What the computer does when it listens to speech is different
from what a person does.

The first challenge in speech recognition is to identify what is speech
and what is just noise. People can filter out noise fairly easily, which
lets us talk to each other almost anywhere. We have conversations in
busy train stations, across the dance floor, and in crowded restaurants.
It would be very dull if we had to sit in a quiet room every time we
wanted to talk to each other!

Unlike people, computers need help separating speech sounds from other
sounds. When you speak to a computer, you should be in a place without
too much noise. Then, you must speak clearly into a microphone that has
been placed in the right position. If you do this, the computer will
hear you just fine, and not get confused by the other noises around you.

A second challenge is to recognize speech from more than one speaker.
People do this very naturally. We have no problem chatting one moment
with Aunt Grace, who has a high, thin voice, and the next moment with
Cousin Paul, who has a voice like a foghorn. People easily adjust to the
unique characteristics of every voice.

Speech-recognition software, on the other hand, works best when the
computer has a chance to adjust to each new speaker. The process of
teaching the computer to recognize your voice is called "training," and
it's what you're doing right now.

The training process takes only a few minutes for most people. If, after
you begin using the program, you find that the computer is making more
mistakes than you expect, use the tools provided in the Accuracy Center
to improve the recognition accuracy.

Another challenge is how to distinguish between two or more phrases that
sound alike. People use common sense and context--knowledge of the topic
being talked about--to decide whether a speaker said "ice cream" or "I

Speech-recognition programs don't understand what words mean, so they
can't use common sense the way people do. Instead, they keep track of
how frequently words occur by themselves and in the context of other
words. This information helps the computer choose the most likely word
or phrase from among several possibilities.

Finally, people sometimes mumble, slur their words, or leave words out
altogether. They assume, usually correctly, that their listeners will be
able to fill in the gaps. Unfortunately, computers won't understand
mumbled speech or missing words. They only understand what was actually
spoken and don't know enough to fill in the gaps by guessing what was

To understand what it means to speak both clearly and naturally, listen
to the way newscasters read the news.  If you copy this style when you
dictate, the program should successfully recognize what you say.

One of the most effective ways to make speech recognition work better is
to practice speaking clearly and evenly when you dictate. Try thinking
about what you want to say before you start to speak. This will help you
speak in longer, more natural phrases.

Speak at your normal pace without slowing down.  When another person is
having trouble understanding you, speaking more slowly usually helps.
It doesn't help, however, to speak at an unnatural pace when you're
talking to a computer.  This is because the program listens for
predictable sound patterns when matching sounds to words.  If you speak
in syllables, each syllable is likely to be transcribed as a separate

With a little practice, you will develop the habit of dictating in a
clear, steady voice, and the computer will understand you better.

When you read this training text, the program adapts to the pitch and
volume of your voice.  For this reason, when you dictate, you should
continue to speak at the pitch and volume you are speaking with right
now.  If you shout or whisper when you dictate, the program won't
understand you as well.

And last but not least, avoid saying extra words you really don't want
in your document, like "you know." The computer has no way of knowing
which words you say are important, so it simply transcribes everything
you say.

We hope you've enjoyed reading about the different ways that people and
computers recognize spoken language as well as some tips for effective

Sue W. Martin
Management Analyst, 508 Compliance
Health Data and Informatics, (HDI)

-----Original Message-----
From: j-say-bounce@xxxxxxxxxxxxx [mailto:j-say-bounce@xxxxxxxxxxxxx] On
Behalf Of Pranav Lal
Sent: Friday, November 16, 2007 7:01 PM
To: j-say@xxxxxxxxxxxxx
Subject: [j-say list] Re: Setup Problems.

Hi Jim,

What video card are you using?  I have heard reports that some video
can cause this problem but do not have any specific names at hand.
what screen resolution are you running at?

-----Original Message-----
From: j-say-bounce@xxxxxxxxxxxxx [mailto:j-say-bounce@xxxxxxxxxxxxx] On
Behalf Of Jim Noseworthy
Sent: Friday, November 16, 2007 11:31 PM
To: j-say@xxxxxxxxxxxxx
Subject: [j-say list] Re: Setup Problems.


I have the below mentioned software packages and their correct versions
installed; however, I am not able to get JAWS to read the full text of
teaching/training text during the initial setup of Dragon.


----- Original Message ----- From: Ed. Rosenthal <mailto:edward@xxxxxxxxxxxx>
To: j-say@xxxxxxxxxxxxx
Sent: Friday, November 16, 2007 1:28 PM
Subject: [j-say list] Re: Setup Problems.

Jim- the current version of J-Say is 5.02, and it supports Jaws
Windows version 8.0 .1177.  Let us know if there are other questions.

From: j-say-bounce@xxxxxxxxxxxxx
On Behalf Of Jim Noseworthy
Sent: Friday, November 16, 2007 8:50 AM
To: j-say@xxxxxxxxxxxxx
Subject: [j-say list] Setup Problems.

Hi Folks:

With the latest version of J-Say, and the correct JFW build, I
having problems reading the teaching/training text with JAWS using the
key. Only pieces of the text are being read.

Any ideas?

Thanks all over the place.

Other related posts: