OK, let me jump in here and see if I can help. 

Voice recognition is getting more and more accurate by the day, but it is
important to realize that (1) it's still a very tough problem to solve and
(2) there are parallel efforts attacking the problem. The parallel tracks
are handling (1) an unlimited domain for a single speaker and (2) a limited
domain for any speaker. 

"Domain" is essentially the body of work that the recognizer can understand.
By limiting a recognizer to a specific domain, such as "the art world", you
can accurately handle many types of speakers without training the engine on
particular speaker voices. This is because you are arming the recognizer
with lots of hints about what is likely to be said, easing accurate
recognition across many types of speakers.

The flip side is the only way to handle an unlimited domain (that is, where
there is no way to tell ahead of time what the speaker will utter) is to
have the recognizer learn a particular speaker's voice very, very well.

These approached are known as speaker-dependent (Dragon) vs.
speaker-independent (Microsoft Speech Services, e.g.) technology. 

An IVR system, such as an automated attendant, needs to be
speaker-independent for obvious reasons. Therefore, the domain it supports
is very limited, often "yes", "no", "one", etc. It is also why you are not
yet seeing widespread deployment of airline reservations systems that
understand "Do you have any flights from Atlanta to Chicago next Wednesday
night?" It's much more difficult to do this reliably in a
speaker-independent way.

And remember this, too: voice recognition (converting sounds to text) is not
the same as natural language understanding (ascertaining the meaning of
text). Both are large problems that are still in the early stages of
perfecting.

Michael Madigan wrote:
> All the automated phone systems use it, so someone's
> got to be doing something right.
>
>   
Good point.  I've used some phone systems where the electronic operator 
was accurate about 90% of the time.


-- 
Michael J. Babcock, MCP



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