most citedGeneralized Fake Audio Detection via Deep Stable Learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SD2024

EELE: Exploring Efficient and Extensible LoRA Integration in Emotional Text-to-Speech

Xin Qi, Ruibo Fu, Zhengqi Wen +10

In the current era of Artificial Intelligence Generated Content (AIGC), a Low-Rank Adaptation (LoRA) method has emerged. It uses a plugin-based approach to learn new knowledge with…

cs.SD2024

A Noval Feature via Color Quantisation for Fake Audio Detection

Zhiyong Wang, Xiaopeng Wang, Yuankun Xie +9

In the field of deepfake detection, previous studies focus on using reconstruction or mask and prediction methods to train pre-trained models, which are then transferred to fake au…

cs.CV2024

MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics

Cong Cai, Shan Liang, Xuefei Liu +11

Deception detection has garnered increasing attention in recent years due to the significant growth of digital media and heightened ethical and security concerns. It has been exten…

cs.SD2024

Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio

Yi Lu, Yuankun Xie, Ruibo Fu +9

With the proliferation of Large Language Model (LLM) based deepfake audio, there is an urgent need for effective detection methods. Previous deepfake audio generation methods typic…

cs.SD2024

Genuine-Focused Learning using Mask AutoEncoder for Generalized Fake Audio Detection

Xiaopeng Wang, Ruibo Fu, Zhengqi Wen +9

The generalization of Fake Audio Detection (FAD) is critical due to the emergence of new spoofing techniques. Traditional FAD methods often focus solely on distinguishing between g…

cs.SD2024

PPPR: Portable Plug-in Prompt Refiner for Text to Audio Generation

Shuchen Shi, Ruibo Fu, Zhengqi Wen +10

Text-to-Audio (TTA) aims to generate audio that corresponds to the given text description, playing a crucial role in media production. The text descriptions in TTA datasets lack ri…