RE: Looking for hints on speech generation (not synthesis)

["Kenneth Watt" <kennwatt@xxxxxxx>]

Mark,

You have *way* too much time on your hands...just wait till the bambino
arrives on the scene ;-)

K.

> -----Original Message-----
> From: Mark Harrison [mailto:Mark.Harrison@xxxxxxx]
> Sent: 11 February 2002 17:05
> To: ukha_d@xxxxxxx
> Subject: RE: [ukha_d] Looking for hints on speech generation (not
> synthesis)
>
> David,
>
> I've been thinking on this email for the last couple of weeks, and
still
> haven't come up with a decent solution. So here are some rambling
> thoughts...
>
> Linguists tends to assume that languages are based around axiomatic
> semantics. IT people tend to think in terms of denotational semantics,
> and the models continue to be virtually impossible to reconcile.
>
> As I see things, this question is bound up with (from a people end)
> cognitive psychology, and (from an IT end) with AI.
>
> There are a number of reference works on AI, which are obviously more
> about the _understanding_ of natural language.  The traditional tool
is
> one called Lisa, which was originally implemented in common LISP back
in
> the 70s/80s. (Google search: "Lisa LISP")
>
> There's still a lot of debate in AI circles about whether
> "understanding" is necessary for meaningful AI. Turing
obviously
> postulated one theory about intelligence (Google searach: "Turing
Test")
>
>
> Roger Penrose (professor of Maths at Oxford) believes that it is, and
> that furthermore, a deterministic Von Neumann architecture is
> fundamentally incompatable with "intelligence." His book
"The
Emperor's
> New Mind" is worth a read if you've got time.
>
> However, I disagree with his central premise. I don't believe that
> non-determinism is an absolute requirement to model conciousness.
> However, I do agree that any congnitive model that simulates _human_
> understanding involves an inherent parallelism an order of magnitude
> above what is simulatable in real-time with current processors.
>
> The best book I've ever read on this (conciousness, NOT the IT
modelling
> of it) is "conciousness explained" by Daniel Dennett, which
is
> _seriously_ worth reading.
>
>
> Answers to your Home Automation Problem - NO.
> Interesting things to read to keep your life busy - YES.
>
> :-)
>
>
> Mark Harrison
> Head of Systems, eKingfisher
>
>
> -----Original Message-----
> From: David Paterson [mailto:david.paterson@xxxxxxx]
> Sent: 27 January 2002 23:10
> To: ukha_d@xxxxxxx
> Subject: [ukha_d] Looking for hints on speech generation (not
synthesis)
>
>
> Hi all,
>
> The text to speech side of things seems to be well understood and
fairly
> easy to implement, but I'm looking for any ideas or information on
> speech, or rather language, generation.  i.e. using some kind of
syntax
> or grammar to generate appropriate sentences based on the information
> input to the system.
>
> The idea is that various information sources like house sensors, news
> and weather from web or teletext etc. would be prioritised, possibly
> based on preset importance or appearance of keywords, and then the
> language generation would create sentences to feed the text to speech
> system to pass on the information.
>
> I've tried various web and google searches but haven't come up with
> anything which would either provide a ready made solution or even good
> ideas for home brew.
>
> With the broad experience of the people on this list I'm sure somebody
> can point me at some useful resources :-)  So, any ideas folks....
>
> David P.
>
> --
> David_Paterson = david.paterson@xxxxxxx
> david.paterson@xxxxxxx;
>
> Senior R & D programmer    There are three kinds of people in the
world
> -
> Visual Sciences Ltd.        those who can count, and those who
can't...
>
>
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