Local Word Confidence Measure Using Word Graph and N-Best List

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 : This paper presents some confidence measures for large vocabulary speech recognition which are based on word graph or N-Best List structures. More and more applications need fast estimation of any measures in order to stay real-time. We propose some simple and fast measures, locally computed, that can be directly used within the first decoding recognition process. We also define some other measures combining word graph and N-Best List. Experimental results on a French broadcast news corpus are also presented.
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https://hal.archives-ouvertes.fr/hal-00013775
Contributor : Joseph Razik <>
Submitted on : Thursday, November 10, 2005 - 5:38:58 PM
Last modification on : Thursday, January 11, 2018 - 6:19:56 AM

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  • HAL Id : hal-00013775, version 1

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Joseph Razik, Odile Mella, Dominique Fohr, Jean-Paul Haton. Local Word Confidence Measure Using Word Graph and N-Best List. 2005, Lisbon, Portugal, pp.3369-3372. ⟨hal-00013775⟩

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