Re: How to maximize your frustration with computers



On May 24, 6:00 pm, Mark Conrad <none...@xxxxxxxxxxxxxxxxxxxxx> wrote:
In article
<telamon_spamshield-D434D8.10513324052...@xxxxxxxxxxxxxxxxxxxxxxxxxxxx>,

Telamon <telamon_spamshi...@xxxxxxxxxxxxxxxxxxxxxx> wrote:
I use Mac and Windows XP because most engineering applications
are written for Windows.

Yeah, and it is not only the engineering apps that are
written for Windows.

"Productivity" apps like speech recognition have
a long history of being written for Windows, while
being as scarce as hens-teeth on the Mac platform.

Every hospital I know of, runs speech apps on XP or
Vista, _none_ of the hospitals use Macs.

Their preference is Vista, because they worry about
future support of XP.

I dread the eventual change to Vista
or Windows 7. I'll stick with XP as long as I can.

I know very little about either XP or Vista, being I
am a long-term Mac guy.

I have run the $1,600 Dragon medical version on both
the XP and Vista Ultimate OSs, can't detect any significant
difference in the performance of Dragon itself, other than
it takes Dragon somewhat longer to load up at first turn-on,
due to all the crap in the Vista OS.

Once loaded, Dragon gallops right along. For example, I timed
it on a 336 wpm session, and it kept up with my rapid dictation.

No text mistakes, BTW.

You can bet if I had mis-pronounced even one of those 336 words
during my 60 second test, Dragon would have kicked out
a text mistake.

Users normally talk between 60wpm to 200wpm depending
on the speaker and the complexity of their speech topic.

I run that expensive Dragon medical app' on Mac hardware,
a two year old MacBook Pro. (Vista in a 80 GB partition)

Back to MacSpeech Dictate
*****************

If MacSpeech ever ships the new version 1.5 to me, here is
the "accuracy" test I am going to subject the new version to.

I adjusted the line lengths to be no more than 55 characters,
by running a one-line-only version through BBEdit, and
adjusting the hard returns to be no more than 55 char's.

Needless to say, I expect at least 99% raw accuracy on the
following 188 "words", when MacSpeech hears the dictation
for the very first time.

That means I can only tolerate a maximum of 2 mistakes.

Beginning of Accuracy Test
------------------

Learning and Detecting Emergent Behavior in Networks of
Cardiac Myocytes

By Radu Grosu, Scott A. Smolka, Flavio Corradini, Anita
Wasilewska, Emilia Entcheva, and Ezio Bartocci

Abstract

We address the problem of specifying and detecting
emergent behavior in networks of cardiac myocytes,
spiral electric waves in particular, a precursor to
atrial and ventricular fibrillation. To solve this
problem we: (1) apply discrete mode abstraction to the
cycle-linear hybrid automata (CLHA) we have recently
developed for modeling the behavior of myocyte
networks; (2) introduce the new concept of spatial
superposition of CLHA modes; (3) develop a new spatial
logic, based on spatial superposition, for specifying
emergent behavior; (4) devise a new method for learning
the formulae of this logic from the spatial patterns
under investigation; and (5) apply bounded model
checking to detect the onset of spiral waves. We have
implemented our methodology as the EMERALD tool suite,
a component of our EHA framework for specification,
simulation, analysis, and control of excitable hybrid
automata. We illustrate the effectiveness of our
approach by applying EMERALD to the scalar electrical
fields produced by our CELLEXCITE simulation
environment for excitable-cell networks.

-----------------
End of Accuracy Test

With any luck, the new MacSpeech 1.5 version should arrive
here on Tuesday May 26th.
(I ordered the darn update on May 15th)

Can hardly wait to try it out on the above "Accuracy Test".

The text for that test came from page 97 of the 03/2009 issue
of the magazine "Communications of the ACM".

Needless to say, any new user of MacSpeech should not expect
the accuracy/speed that an experienced user can achieve.

If a new user dictated the above complex text, it would
very likely result in a real mess with a lot of text mistakes.

Mark-

Another thing that seems very counter-intuitive to me,
Is that Speech Recognition & Speech Synthesis should be Off-CPU
processes...!
That is; On a Chip of Their Own.
And then the Chip that does this could be plugged into other
appliances,
Such as Cellphones...
And it would also be able to process & analyze other sounds as well,
So that if you're phone is 'On' and you hear a loud popping sound...
The phone could tell you if it's a car backfiring or a gun shot...
And if it does hear a gun shot, it will automatically call a special
911 type number,
and provide that service with the exact time that it heard it,
And along with many other calls, the central computer could
triangulate it's position,
If not otherwise obvious...!
.



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