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

Joseph Razik 1 Odile Mella 1 Dominique Fohr 1 Jean-Paul Haton 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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
Contributor : Joseph Razik <>
Submitted on : Wednesday, October 29, 2008 - 6:49:06 PM
Last modification on : Wednesday, September 18, 2019 - 1:32:45 AM

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Joseph Razik, Odile Mella, Dominique Fohr, Jean-Paul Haton. Comprehension Improvement using Local Confidence Measure: Towards Automatic Transcription for Classroom. Workshop on Child, Computer and Interaction WOCCI08, ICMI'08 post-conference workshop, Oct 2008, Chania, Greece. pp.5. ⟨inria-00335558⟩

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