URGENT: Re: IEE Meeting Abstract

From: Sarah Hawkins (sh110@cam.ac.uk)
Date: Mon Feb 07 2000 - 09:25:38 GMT

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    Dear Mark:

    Thanks for getting this going.
     On re-reading your abstract with enough time to think about it, I
    discover that there are a lot of things that need some reworkings. Some
    are quite important, like we didn;t measure long-range coartic, nor much
    naturalness, if what you;re intending to talk about is last times' expts,
    which Jill thinks you are! I won;t go into other details here, because,
    since the message prefacing your submitted abstract makes it simply a
    placeholder, I think we can fix it all up quite easily, but presumably it
    must be done fast. Jill tells me you're teaching most of today. I teach
    now 9.30-10.30, and 11-12. Please call me to discuss, ASAP.

    Sarah

    On Fri, 4 Feb 2000, Mark Huckvale wrote:

    > Justin
    >
    > IEE Meeting on State-of-the-Art in Speech Synthesis
    >
    > Please find an abstract below. The paper will actually be jointly
    > authored by the ProSynth project team, who all contributed to the
    > work. Thus the names of the final authors on the paper may change.
    >
    > Yours
    >
    > Mark Huckvale
    > =============================================================================
    > Title:
    >
    > Assessment of Naturalness in the ProSynth Speech Synthesis Project
    >
    > Authors: (for ProSynth speech synthesis project)
    >
    > Sebastian Heid, Sarah Hawkins
    > Linguistics
    > University of Cambridge
    >
    > Jill House, Mark Huckvale
    > Phonetics & Linguistics
    > University College London
    >
    > Abstract:
    >
    > Scientific progress in any area requires quantification of the mismatch
    > between the predictions of theory and the measurements of nature. For many
    > years the objective criterion of intelligibility could be used to evaluate
    > speech synthesis systems, but with the advent of concatenative and corpus
    > synthesis techniques, intelligibility under good listening conditions has
    > reached ceiling levels. However, the perceived naturalness of such systems
    > still falls far short of the human model, and their intelligibility under
    > adverse listening conditions deteriorates rapidly by comparison with
    > natural speech. Other objective measures are therefore required to evaluate
    > scientific hypotheses about the reasons for the discrepancy.
    >
    > The most common measure of naturalness used by commercial systems is a mean
    > opinion score, calculated from a panel of listeners applying a rating scale.
    > Such measures are expensive to undertake and unreliable unless the panel
    > size is large. Within the ProSynth synthesis project we have been pursuing
    > instead carefully designed perceptual experiments which attempt to tap the
    > degree of difficulty in cognitive processing experienced by listeners when
    > performing tasks informed by synthetic speech. Within such experiments it
    > is possible to make statistical comparisons between speech generated
    > according to models of differing complexity, and thus to assess the
    > perceptual advantage of an 'improved' over a 'default' model. In our
    > ProSynth work, we predict such an advantage when systematic phonetic
    > variation is correctly modelled.
    >
    > In this paper we will review three perceptual experiments undertaken in the
    > areas of timing, intonation and long-range coarticulation. The experiments
    > are based on the hypothesis that 'unnaturalness' disturbs listeners'
    > processing of speech signals and slows their reaction times. We shall give
    > some examples where this effect does seem to be present in our data. The
    > paper concludes with some hard-won recommendations on experimental procedures.
    >
    >

    Sarah

    _____________________________________________________________________

     Dr. Sarah Hawkins Email: sh110@cam.ac.uk
     Dept. of Linguistics Phone: +44 1223 33 50 52
     University of Cambridge Fax: +44 1223 33 50 53
     Sidgwick Avenue or +44 1223 33 50 62
     Cambridge CB3 9DA
     United Kingdom



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