%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Potard_Idiap-RR-02-2015,
         author = {Potard, Blaise and Motlicek, Petr and Imseng, David},
       keywords = {deep neural networks, fmllr, neural network, speaker adaptation, speech synthesis, text-to-speech},
       projects = {Idiap, DBOX},
          month = {1},
          title = {Preliminary Work on Speaker Adaptation for DNN-Based Speech Synthesis},
           type = {Idiap-RR},
         number = {Idiap-RR-02-2015},
           year = {2015},
    institution = {Idiap},
       abstract = {We investigate speaker adaptation in the context of deep neural network (DNN) based speech synthesis.
More specifically, our current work focuses on the exploitation of auxiliary information such as 
gender, speaker identity or age during the DNN training process.
The proposed technique is compared to standard acoustic feature
transformations such as the feature based maximum likelihood linear
regression (FMLLR) based speaker adaptation.
Objective error measurements as well as perceptual experiments, performed on the WSJCAM0 database, suggest that
the proposed method is superior to standard feature transformations.},
            pdf = {https://publications.idiap.ch/attachments/reports/2014/Potard_Idiap-RR-02-2015.pdf}
}