most citedGeneralized Fake Audio Detection via Deep Stable Learning

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cs.SD2024

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…

cs.SD2024

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…

cs.SD2024

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…

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.SD2024

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…