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From: i17@netcom.com (Count Wolfgenstein)
Subject: Re: Motorola Neural Network Speech Synthesizer Article
Message-ID: <i17E5tF5u.73n@netcom.com>
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References: <330200DD.456F@mot.com>
Date: Tue, 18 Feb 1997 20:20:18 GMT
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So where's the 800 number to call for a demo?

Or are you telling me that the world is all BOTS?

Ian 2121chars 67lines 12:17 
  (as the radio responds with ad for a "bad breath clinic, call 888-FRESH)
  ( OK, I'll call and see what "state of the art in audioBOTics" is like )

***

Orhan Karaali (karaali@mot.com) wrote:
: FTP-host: archive.cis.ohio-state.edu
: FTP-filename: /pub/neuroprose/karaali.synthesis_wcnn96.ps.Z



: Motorola Neural Network Speech Synthesizer Article

: A new neural network based speech synthesizer has been developed here at
: Motorola Chicago Corporate Research Laboratories by Speech Synthesis and
: Machine Learning Group.  We believe that the quality of the synthesized
: speech it produces surpasses the current state of the art particularly
: in
: naturalness.

: An invited paper describing this neural network speech synthesizer
: was presented in the Speech Session of the World Congress on Neural
: Networks 96 in San Diego.  This paper is now available in NEUROPROSE
: archive as karaali.synthesis_wcnn96.ps.Z.

: If you have a problem getting the paper from NEUROPROSE, I can email
: it to you.

: Orhan Karaali

: email: karaali@mot.com


: ---------------------------------------------------------------------

: Speech Synthesis with Neural Networks
: Orhan Karaali, Gerald Corrigan, and Ira Gerson
: Motorola, Inc., 1301 E. Algonquin Road, Schaumburg, IL 60196
: karaali@mot.com, corrigan@mot.com, gerson@mot.com

: ABSTRACT

: Text-to-speech conversion has traditionally been performed either by
: concatenating short samples of speech or by using rule-based systems to
: convert
: a phonetic representation of speech into an acoustic representation,
: which is
: then converted into speech. This paper describes a system that uses a
: time-delay neural network (TDNN) to perform this phonetic-to-acoustic
: mapping,
: with another neural network to control the timing of the generated
: speech.
: The neural network system requires less memory than a concatenation
: system,
: and performed well in tests comparing it to commercial systems using
: other
: technologies.

VRai17 12:15 18feb97 71lines 2187chars    "OK!"
-- 

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               My god is AMNISCIENT.  He forgets EVERYTHING.

         He even forgot about Me, and I'm his coolest creation ever.

                        Now... What was I saying?

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