2007-04-28 07:56:27 UTC
Speech Recognition app's now that we can run Windows XP Pro and Vista
Ultimate directly on our Macs, thanks to Parallels and BootCamp.
The raw uncorrected text is below, which was spoken in at 100wpm.
(138 words which took 83 seconds for me to dictate)
Start of raw uncorrected text -
Semantic technologies are based on models that explicitly encode the
meaning of information to avoid ambiguity and support automated
reasoning. These models are usually called "ontologies". Automated
reasoning is supported to check consistency and to infer new
information. Semantic technologies provide a variety of uses and
benefits, including information integration, better search, sharing and
reuse, improved flexibility and reliability and cheaper maintenance. A
major part of this tutorial is devoted to clarifying the relationships
between the many different modeling formalisms that are the basis for
semantic technologies. These include: controlled vocabularies, the
sorry, taxonomies, ontologies, object oriented models and database
schema. We will critically evaluate the true, yet misleading claim that
ontologies have formal semantics that allow for unambiguous
representation of information. We close by considering what you can do
to get started on your own semantic technology project.
End of raw text -
Four mistakes in the raw text, from the beginning of example
1) technologies s/b Technologies (on first line)
2) sharing and reuse s/b sharing & reuse
3) flexibility and reliability s/b flexibility & reliability
4) the sorry s/b thesauri
The first three mistakes were my fault, therefore should not really be
counted as mistakes. I have not used Dragon for almost a year on any
serious dictation project so I am a little rusty.
What I _should_ have said to eliminate the first three mistakes:
1a) "Cap next word technologies"
2a) "sharing ampersand reuse"
3a) "flexibility ampersand reliability"
So we have one "legitimate" mistake in 138 words, well within the
advertised accuracy of 99% claimed by Dragon.
The fourth mistake, "the sorry" instead of the correct "thesauri" is
a serious limitation of all present speech recognition applications,
even the very expensive Dragon NaturallySpeaking Pro versions 9.00 and
Namely, they can not handle homonyms properly.
The pronunciation of the word "thesauri" is "thu-sorr-eee" ...
... which Dragon mistakes as "the sorry".
There is no practical way to avoid such mistakes. In the distant
future, speech recognition app's will be able to avoid such mistakes,
however right now we have to live with these limitations.
The word "thesauri" is commonly used in technical publications as being
the plural of the word "thesaurus", as in the example:
"I have several thesauri on my bookshelf"
...used by some authors in place of the equally correct:
"I have several thesauruses on my bookshelf"
My particular setup here is an Intel-based MacBook Pro Duo, 2.33GHz, 3GB
RAM, Parallels build 3188, Windows XP Pro, running the Windows app'
Dragon NaturallySpeaking Pro version 9.00 from Nuance Communications Inc.
My input microphone is a "Sennheiser ME 65 / K6" placed approx' 12
inches off to the side of my mouth and slightly above, with its battery
powered internal amplifier turned off. The mic' connects via cable to
a tiny encapsulated "Parrott VX1" sound card, commonly called a
Other side of the soundpod connects via a cable to the ordinary USB jack
on the MacBook.
BTW, the Sennheiser mic' worked with surprising accuracy at 60 inches
from my mouth.
I don't have the foggiest idea where the mic' is getting its power from,
being the battery switch on the mic' is turned off. I suspect the mic'
is getting power from the USB jack of the MacBook.
One reason for using the Sennheiser mic' is to free myself from the
headset that comes included with Dragon Pro.
The included headset is quite good, assuming you buy the external
Parrott VX1 soundpod for about $20, needed to get away from the
electrical noise picked up by the Macs regular internal soundcard.
Secondary reason for the Sennheiser mic' is that it allows me to speak
in a very soft voice, which is important in the hospital where I do
Sound output is via the ordinary MacBook speakers.