83 citations · 166 across the 57 of their papers we have counts for
24 papers · 1 filter
Mel-Refine: A Plug-and-Play Approach to Refine Mel-Spectrogram in Audio Generation
Hongming Guo, Ruibo Fu, Yizhong Geng +9
Text-to-audio (TTA) model is capable of generating diverse audio from textual prompts. However, most mainstream TTA models, which predominantly rely on Mel-spectrograms, still face…
Multimodal Diffusion Transformer with Memory Bank for Scalable Long-Duration Talking Video Generation
Haojie Zhang, Zhihao Liang, Ruibo Fu +5
Long-duration talking video synthesis faces enduring challenges in achieving high video quality, portrait consistency, temporal coherence, and computational efficiency. As video le…
Mixture of Experts Fusion for Fake Audio Detection Using Frozen wav2vec 2.0
Zhiyong Wang, Ruibo Fu, Zhengqi Wen +10
Speech synthesis technology has posed a serious threat to speaker verification systems. Currently, the most effective fake audio detection methods utilize pretrained models, and in…
DPI-TTS: Directional Patch Interaction for Fast-Converging and Style Temporal Modeling in Text-to-Speech
Xin Qi, Ruibo Fu, Zhengqi Wen +12
In recent years, speech diffusion models have advanced rapidly. Alongside the widely used U-Net architecture, transformer-based models such as the Diffusion Transformer (DiT) have…
Text Prompt is Not Enough: Sound Event Enhanced Prompt Adapter for Target Style Audio Generation
Chenxu Xiong, Ruibo Fu, Shuchen Shi +9
Current mainstream audio generation methods primarily rely on simple text prompts, often failing to capture the nuanced details necessary for multi-style audio generation. To addre…
Towards Diverse and Efficient Audio Captioning via Diffusion Models
Manjie Xu, Chenxing Li, Xinyi Tu +4
We introduce Diffusion-based Audio Captioning (DAC), a non-autoregressive diffusion model tailored for diverse and efficient audio captioning. Although existing captioning models r…
Exploring the Role of Audio in Multimodal Misinformation Detection
Moyang Liu, Yukun Liu, Ruibo Fu +4
With the rapid development of deepfake technology, especially the deep audio fake technology, misinformation detection on the social media scene meets a great challenge. Social med…
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?
Yuankun Xie, Chenxu Xiong, Xiaopeng Wang +9
Currently, Audio Language Models (ALMs) are rapidly advancing due to the developments in large language models and audio neural codecs. These ALMs have significantly lowered the ba…
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…
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…
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge
Yuankun Xie, Xiaopeng Wang, Zhiyong Wang +4
ASVspoof5, the fifth edition of the ASVspoof series, is one of the largest global audio security challenges. It aims to advance the development of countermeasure (CM) to discrimina…
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing
Chunyu Qiang, Wang Geng, Yi Zhao +12
Deep learning has brought significant improvements to the field of cross-modal representation learning. For tasks such as text-to-speech (TTS), voice conversion (VC), and automatic…
ICAGC 2024: Inspirational and Convincing Audio Generation Challenge 2024
Ruibo Fu, Rui Liu, Chunyu Qiang +11
The Inspirational and Convincing Audio Generation Challenge 2024 (ICAGC 2024) is part of the ISCSLP 2024 Competitions and Challenges track. While current text-to-speech (TTS) techn…
ASRRL-TTS: Agile Speaker Representation Reinforcement Learning for Text-to-Speech Speaker Adaptation
Ruibo Fu, Xin Qi, Zhengqi Wen +10
Speaker adaptation, which involves cloning voices from unseen speakers in the Text-to-Speech task, has garnered significant interest due to its numerous applications in multi-media…
Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
Ruihan Jin, Ruibo Fu, Zhengqi Wen +3
Fake news becomes a growing threat to information security and public opinion with the rapid sprawl of media manipulation. Therefore, fake news detection attracts widespread attent…
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…
A multi-speaker multi-lingual voice cloning system based on vits2 for limmits 2024 challenge
Xiaopeng Wang, Yi Lu, Xin Qi +4
This paper presents the development of a speech synthesis system for the LIMMITS'24 Challenge, focusing primarily on Track 2. The objective of the challenge is to establish a multi…
MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and Generation
Ruibo Fu, Shuchen Shi, Hongming Guo +12
Foley audio, critical for enhancing the immersive experience in multimedia content, faces significant challenges in the AI-generated content (AIGC) landscape. Despite advancements…
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…
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…
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy
Yuankun Xie, Ruibo Fu, Zhengqi Wen +5
With the proliferation of deepfake audio, there is an urgent need to investigate their attribution. Current source tracing methods can effectively distinguish in-distribution (ID)…
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…
Generalized Fake Audio Detection via Deep Stable Learning
Zhiyong Wang, Ruibo Fu, Zhengqi Wen +9
Although current fake audio detection approaches have achieved remarkable success on specific datasets, they often fail when evaluated with datasets from different distributions. P…
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio
Yuankun Xie, Yi Lu, Ruibo Fu +9
With the proliferation of Audio Language Model (ALM) based deepfake audio, there is an urgent need for generalized detection methods. ALM-based deepfake audio currently exhibits wi…