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Communication Dans Un Congrès Année : 2022

Automatic Speech Recognition and Query By Example for Creole Languages Documentation

Résumé

We investigate the exploitation of self-supervised models for two Creole languages with few resources: Gwadloupéyen and Morisien. Automatic language processing tools are almost non-existent for these two languages. We propose to use about one hour of annotated data to design an automatic speech recognition system for each language. We evaluate how much data is needed to obtain a query-by-example system that is usable by linguists. Moreover, our experiments show that multilingual self-supervised models are not necessarily the most efficient for Creole languages.
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Dates et versions

hal-03625303 , version 1 (30-03-2022)

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  • HAL Id : hal-03625303 , version 1

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Cécile Macaire, Didier Schwab, Benjamin Lecouteux, Emmanuel Schang. Automatic Speech Recognition and Query By Example for Creole Languages Documentation. Findings of the Association for Computational Linguistics: ACL 2022, May 2022, Dublin, Ireland. ⟨hal-03625303⟩
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