Federated Learning (FL) has been widely concerned for it enables
decentr...
Out-of-distribution (OOD) detection aims at enhancing standard deep neur...
Data-Free Knowledge Distillation (DFKD) has recently attracted growing
a...
Unsupervised representation learning for speech audios attained impressi...
Pose Guided Human Image Synthesis (PGHIS) is a challenging task of
trans...
The Transformer architecture model, based on self-attention and multi-he...
Buddhism is an influential religion with a long-standing history and pro...
Nonparallel multi-domain voice conversion methods such as the StarGAN-VC...
Deep learning models have made significant progress in automatic program...
Speaker verification (SV) aims to determine whether the speaker's identi...
Quantum devices with low qubits are common in the Noisy Intermediate-Sca...
Sound event detection is to infer the event by understanding the surroun...
Grapheme-to-phoneme (G2P) conversion is the process of converting the wr...
This paper investigates a novel task of talking face video generation so...
Large-scale deep neural networks (DNNs) such as convolutional neural net...
Knowledge distillation refers to a technique of transferring the knowled...
State-of-the-art speaker verification models are based on deep learning
...