5 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.AS2022★ 5 cited
FlexLip: A Controllable Text-to-Lip System
Dan Oneata, Beata Lorincz, Adriana Stan +1
The task of converting text input into video content is becoming an important topic for synthetic media generation. Several methods have been proposed with some of them reaching cl…
eess.AS2021
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis
Beata Lorincz, Adriana Stan, Mircea Giurgiu
Multi-speaker spoken datasets enable the creation of text-to-speech synthesis (TTS) systems which can output several voice identities. The multi-speaker (MSPK) scenario also enable…
eess.AS2021
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis
Beata Lorincz, Adriana Stan, Mircea Giurgiu
Building multispeaker neural network-based text-to-speech synthesis systems commonly relies on the availability of large amounts of high quality recordings from each speaker and co…