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About handling boundary uncertainty in a speaking rate dependent modeling approach

Denis Jouvet 1 Dominique Fohr 1 Irina Illina 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Variability dependent modeling provides a way of handling the impact of some variability sources in the modeling. In many cases, the variability factor is estimated in a deterministic way, leading to a mere selection of the most adequate model. However, there are always some uncertainty in the estimation of the variability sources which may induce a sub optimal model selection. This paper considers the context of a speaking rate dependent modeling approach, and shows that the uncertainty on the speech segment boundaries, which translates in an uncertainty on the speaking rate estimation, can be handled in the training process and/or in the decoding process. Preliminary results reported here are promising for dealing with variability estimation uncertainty.
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Conference papers
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https://hal.inria.fr/inria-00614781
Contributor : Denis Jouvet <>
Submitted on : Tuesday, August 16, 2011 - 3:08:45 PM
Last modification on : Friday, February 26, 2021 - 3:28:05 PM

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  • HAL Id : inria-00614781, version 1

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CNRS | INRIA | LORIA | UNIV-LORRAINE

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Denis Jouvet, Dominique Fohr, Irina Illina. About handling boundary uncertainty in a speaking rate dependent modeling approach. 12th Annual Conference of the International Speech Communication Association - Interspeech 2011, International Speech Communication Association (ISCA) et The Italian Regional SIG - AISV (Italian Speech Communication Association), Aug 2011, Florence, Italy. ⟨inria-00614781⟩

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