Excellent description.  Thanks!

Gil

> -----Original Message-----
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] Behalf Of Dave Bernard
> Sent: Thursday, February 01, 2007 10:49 PM
> To: [EMAIL PROTECTED]
> Subject: RE: [NF] Speech-To-Text software opinions sought
>
>
> 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
>
>
>
[excessive quoting removed by server]

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