InforLorV4, Hal, Curation, bibRecord, 001726

Comprehension Improvement using Local Conﬁdence Measure: Towards Automatic Transcription for Classroom

Identifieur interne : 001726 ( Hal/Curation ); précédent : 001725; suivant : 001727

Comprehension Improvement using Local Conﬁdence Measure: Towards Automatic Transcription for Classroom

Auteurs : Joseph Razik [France] ; Odile Mella [France] ; Dominique Fohr [France] ; Jean-Paul Haton [France]

Source :

RBID : Hal:inria-00335558

Abstract

We conducted a preliminary study to evaluate the contribution of conﬁdence measure for improving the comprehension of an automatic transcription. The future framework is deaf children studying in a standard school classroom. We deﬁned local conﬁdence measures that can be estimated as soon as possible without waiting for the recognition process to be completed. We then deﬁned diﬀerent modalities to highlight words of low conﬁdence in an automatic transcription and we presented the diﬀerent modiﬁed transcriptions to several subjects who had to answer to some questions of comprehension and to restore the sentences originally uttered. We showed that highlighting words of low conﬁdence can improve the comprehension of the automatic transcription.

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https://hal.inria.fr/inria-00335558

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<front><div type="abstract" xml:lang="en">We conducted a preliminary study to evaluate the contribution of conﬁdence measure for improving the comprehension of an automatic transcription. The future framework is deaf children studying in a standard school classroom. We deﬁned local conﬁdence measures that can be estimated as soon as possible without waiting for the recognition process to be completed. We then deﬁned diﬀerent modalities to highlight words of low conﬁdence in an automatic transcription and we presented the diﬀerent modiﬁed transcriptions to several subjects who had to answer to some questions of comprehension and to restore the sentences originally uttered. We showed that highlighting words of low conﬁdence can improve the comprehension of the automatic transcription.</div>
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<hal api="V3"><titleStmt><title xml:lang="en">Comprehension Improvement using Local Conﬁdence Measure: Towards Automatic Transcription for Classroom</title>
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<idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno>
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<idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno>
<idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Comprehension Improvement using Local Conﬁdence Measure: Towards Automatic Transcription for Classroom</title>
<author role="aut"><persName><forename type="first">Joseph</forename>
<surname>Razik</surname>
</persName>
<email>Joseph.Razik@loria.fr</email>
<idno type="halAuthorId">66140</idno>
<affiliation ref="#struct-2359"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Odile</forename>
<surname>Mella</surname>
</persName>
<email>Mella@loria.fr</email>
<idno type="halAuthorId">66141</idno>
<affiliation ref="#struct-2359"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Dominique</forename>
<surname>Fohr</surname>
</persName>
<email>dominique.fohr@loria.fr</email>
<idno type="halAuthorId">66027</idno>
<affiliation ref="#struct-2359"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Jean-Paul</forename>
<surname>Haton</surname>
</persName>
<email>Jean-Paul.Haton@loria.fr</email>
<idno type="halAuthorId">66142</idno>
<affiliation ref="#struct-2359"></affiliation>
</author>
</analytic>
<monogr><meeting><title>Workshop on Child, Computer and Interaction WOCCI08, ICMI'08 post-conference workshop</title>
<date type="start">2008-10-23</date>
<settlement>Chania</settlement>
<country key="GR">Greece</country>
</meeting>
<imprint><biblScope unit="pp">5</biblScope>
<date type="datePub">2008</date>
</imprint>
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<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
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<abstract xml:lang="en">We conducted a preliminary study to evaluate the contribution of conﬁdence measure for improving the comprehension of an automatic transcription. The future framework is deaf children studying in a standard school classroom. We deﬁned local conﬁdence measures that can be estimated as soon as possible without waiting for the recognition process to be completed. We then deﬁned diﬀerent modalities to highlight words of low conﬁdence in an automatic transcription and we presented the diﬀerent modiﬁed transcriptions to several subjects who had to answer to some questions of comprehension and to restore the sentences originally uttered. We showed that highlighting words of low conﬁdence can improve the comprehension of the automatic transcription.</abstract>
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Comprehension Improvement using Local Conﬁdence Measure: Towards Automatic Transcription for Classroom

Comprehension Improvement using Local Conﬁdence Measure: Towards Automatic Transcription for Classroom

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