Skip to Main content Skip to Navigation

Foreign accent identification based on prosodic parameters

Marina Piat 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 : In this paper we propose an automatic approach for foreign accent identification. Knowledge of the speaker's origin allows to adapt acoustic models for non-native speech recognition. In this study, we use a statistical approach based on prosodic parameters. This approach relies on the fact that prosody is different between languages, and has been done within the framework of the HIWIRE (Human Input that Works In Real Environments) European project. The corpus is composed of English sentences pronounced by French, Italian, Greek and Spanish speakers. Results obtained with duration and energy are promising for foreign accent identification: 67.1% correct L1 identification with duration and 68.6% with energy. These two parameters combined with MFCC achieve a 87.1% correct foreign accent identification rate.
Complete list of metadatas

https://hal.inria.fr/inria-00327706
Contributor : Dominique Fohr <>
Submitted on : Thursday, October 9, 2008 - 11:52:48 AM
Last modification on : Thursday, January 11, 2018 - 6:19:56 AM

Identifiers

  • HAL Id : inria-00327706, version 1

Collections

Citation

Marina Piat, Dominique Fohr, Irina Illina. Foreign accent identification based on prosodic parameters. INTERSPEECH, Sep 2008, Brisbane, Australia. ⟨inria-00327706⟩

Share

Metrics

Record views

366