Constraint Induction of Phonetic-Acoustic Decision Trees for Crosslingual Acoustic Modelling

In this work we focus on the construction of phonetic-acoustic decision trees for crosslingual use. Several modifications to the standard decision tree growing procedure are proposed aiming on integrating phonological and acoustical knowledge from source and target languages. This results in multilingual source models which already reflect characteristic of the target language though not trained on target speech data. Test results confirm the validity of this approach by improved system performances.