Détection de transcriptions incorrectes de parole non-native dans le cadre de l'apprentissage de langues étrangères

Luiza Orosanu 1 Denis Jouvet 1 Dominique Fohr 1 Irina Illina 1 Anne Bonneau 1
1 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This article analyses the detection of incorrect transcriptions of non-native speech in the context of foreign language learning. The purpose is to detect and reject incorrect transcriptions (i.e. those for which the text does not correspond to the associated speech signal) while being tolerant to the pronunciation defects of non-native speech. The proposed approach exploits the comparison between two alignements : one constrained by the transcript which is being checked, with an other one unconstrained, corresponding to a phonetic decoding. Several criteria are described and combined via a logistic regression function. The article analyzes the influence of different settings, such as the impact of non-native pronunciation variants, the use of decision functions dependent on the length of the transcriptions, and the impact of learning decision functions on native or non-native speech. The performance evaluations are conducted both on native speech and non-native speech.
Complete list of metadatas

https://hal.inria.fr/hal-00753387
Contributor : Denis Jouvet <>
Submitted on : Monday, November 19, 2012 - 10:56:12 AM
Last modification on : Saturday, December 22, 2018 - 5:26:04 PM

Identifiers

  • HAL Id : hal-00753387, version 1

Collections

Citation

Luiza Orosanu, Denis Jouvet, Dominique Fohr, Irina Illina, Anne Bonneau. Détection de transcriptions incorrectes de parole non-native dans le cadre de l'apprentissage de langues étrangères. JEP-TALN-RECITAL 2012, Jun 2012, Grenoble, France. ⟨hal-00753387⟩

Share

Metrics

Record views

257