Reliability of non-native speech automatic segmentation for prosodic feedback

Larbi Mesbahi 1 Denis Jouvet 1 Anne Bonneau 1 Dominique Fohr 1 Irina Illina 1 Yves Laprie 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper investigates the reliability of phonetic boundaries obtained through automatic segmentation of non-native speech for automatic prosodic feedback for foreign language learning. Indeed, prosodic feedback requires checking the fundamental frequency and the duration of phonetic segments of the learner utterances with respect to some reference patterns. Segmentation evaluations carried out on non-native speech data show that the automatic segmentation process takes benefit from the introduction of non-native pronunciation variants, and that several phonetic boundaries obtained through automatic segmentation seems to be reliable enough for providing relevant prosodic feedback. This concerns for example boundaries between obstruent sounds, such as plosives and fricatives, and vowel sounds.
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https://hal.inria.fr/inria-00614930
Contributor : Denis Jouvet <>
Submitted on : Wednesday, August 17, 2011 - 2:32:41 PM
Last modification on : Saturday, December 22, 2018 - 5:26:02 PM

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  • HAL Id : inria-00614930, version 1

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Larbi Mesbahi, Denis Jouvet, Anne Bonneau, Dominique Fohr, Irina Illina, et al.. Reliability of non-native speech automatic segmentation for prosodic feedback. Workshop on Speech and Language Technology in Education - SLaTE 2011, ISCA, Aug 2011, Venise, Italy. ⟨inria-00614930⟩

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