IRISA / Université de Rennes 1
Session JEP poster P6 Jeudi 12 Juin - 10h30 12h30
Transformation de la prosodie par adaptation MLLR de GMM
- Damien Lolive ( IRISA / Université de Rennes 1)
- Nelly Barbot ( IRISA / Université de Rennes 1)
- Olivier Boëffard ( IRISA / Université de Rennes 1)
- Résumé : In a voice transformation context, prosody transformation using parallel corpora is quite unrealistic as such corpora are difficult and also expensive to build. Based on this observation, we propose an approach for transforming prosody using non-parallel corpora thanks to the MLLR adaptation strategy. This methodology is applied to the joint transformation of duration and F0 at the syllable level. The source data are modelled by a GMM which is adapted to the target by applying a linear transformation to the mean vectors of the gaussian mixture. This methodology is applied to the conversion of duration and F0 between two french speakers and is evaluated by cross validation between the models and the test datasets.