@techreport{oai:ipsj.ixsq.nii.ac.jp:00185800,
 author = {Jaime, Lorenzo-Trueba and Xin, Wang and Junichi, Yamagishi and Jaime, Lorenzo-Trueba and Xin, Wang and Junichi, Yamagishi},
 issue = {7},
 month = {Feb},
 note = {With the rise of machine-learning speech processing techniques, the risk of having your vocal identity stolen from online audio clips has risen considerably. In this research we study how GAN-based technologies can allow us to significantly improve the vocal quality of found audios that suffer from noise or reverberation, and the consequences that processing has from the speech generation point of view when using state-of-the-art Wavenet-based voice generation techniques., With the rise of machine-learning speech processing techniques, the risk of having your vocal identity stolen from online audio clips has risen considerably. In this research we study how GAN-based technologies can allow us to significantly improve the vocal quality of found audios that suffer from noise or reverberation, and the consequences that processing has from the speech generation point of view when using state-of-the-art Wavenet-based voice generation techniques.},
 title = {Stealing your vocal identity from the internet: cloning Obama's voice from found data using GAN and Wavenet},
 year = {2018}
}