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Detection of Phone Boundaries for Non-Native Speech using French-German Models

Dominique Fohr 1 Odile Mella 1
1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Within the framework of computer assisted foreign language learning for the French/German pair, we evaluate different HMM phone models for detecting accurate phone boundaries. The optimal parameters are determined by minimizing on the non-native speech corpus the number of phones whose boundaries are shifted by more than 20 ms compared to the manual boundaries. We observe that the best performance was obtained by combining a French native HMM model with an automatically selected German native HMM model.
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Submitted on : Wednesday, August 19, 2015 - 12:17:10 PM
Last modification on : Thursday, March 5, 2020 - 4:51:12 PM
Document(s) archivé(s) le : Friday, November 20, 2015 - 10:44:22 AM


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  • HAL Id : hal-01185195, version 1



Dominique Fohr, Odile Mella. Detection of Phone Boundaries for Non-Native Speech using French-German Models. Workshop on Speech and Language Technology in Education, Sep 2015, Leipzig, Germany. ⟨hal-01185195⟩



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