2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.AS2024★ 2 cited
TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition
Vlad Striletchi, Cosmin Striletchi, Adriana Stan
This paper presents a novel deep neural network-based architecture tailored for Speech Emotion Recognition (SER). The architecture capitalises on dense interconnections among multi…
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…