Session JEP orale O1 Diversité des langues Lundi 9 Juin - 13h30 15h30
Modélisation acoustique multilingue pour la reconnaissance automatique de la parole non native
- Tien-Ping Tan ( Laboratoire LIG/GETALP)
- Laurent Besacier ( Laboratoire LIG/GETALP)
- Résumé : Automatic speech recognition system performance on non-native speakers is still poor. Non-native speech has a different characteristic compare to native speech as it is influenced by their mother tongue. Getting sufficient non-native speech to create a non-native acoustic model is not always possible. In this paper, we investigate the usage of multilingual acoustic models to adapt the target language acoustic model for non-native speakers. A hybrid of acoustic interpolation and merging is proposed for adapting the target acoustic model by using multilingual acoustic models without requiring the raw corpus. Three types of multilingual resources were tested for adapting non-native speakers: the native language of the speakers, non-native speech from a language different from the target language but spoken by the same native origin, and language close to the target language.