Fake audio detection is a growing concern and some relevant datasets have been designed for research. However, there is no standard public Chinese dataset under complex conditions. In this paper, we aim to fill in the gap and design a Chinese fake audio detection dataset (CFAD) for studying more generalized detection methods. Twelve mainstream speech-generation techniques are used to generate fake audio. To simulate the real-life scenarios, three noise datasets are selected for noise adding at five different signal-to-noise ratios, and six codecs are considered for audio transcoding (format conversion). CFAD dataset can be used not only for fake audio detection but also for detecting the algorithms of fake utterances for audio forensics. Baseline results are presented with analysis. The results that show fake audio detection methods with generalization remain challenging. The CFAD dataset is publicly available.1

Haoxin Ma

Jiangyan Yi

Chenglong Wang

Xinrui Yan

Jianhua Tao

Tao Wang

Shiming Wang

Ruibo Fu

Speech Communication

SPEECH COMMUNICATION 是一本跨学科期刊，其主要目标是满足快速传播和深入讨论基础和应用研究成果的需求。该期刊的主要目标是：• 为人类和人机技术的进步提供一个论坛语音通信科学；• 促进该领域不同领域之间的交流；• 促进该领域科学合理贡献的快速和广泛传播。

Speech Communication is an interdisciplinary journal aimed at meeting the needs for rapid dissemination and in-depth discussion of fundamental and applied research findings. The main objectives of the journal are: to provide a forum for the advancement of speech communication science for both humans and human-machine technologies; to facilitate communication across different disciplines within the field; and to promote the rapid and widespread dissemination of scientifically sound contributions in the field.

《Speech Communication》是一本跨学科的期刊，旨在满足基础和应用研究成果的快速传播与深入讨论的需求。该期刊的主要目标包括：为人类与人机技术的进步提供一个语音通信科学的论坛；促进该领域不同学科之间的交流；加速和广泛传播该领域的科学合理贡献。

Category	Quartile
计算机科学	3
计算机科学, 声学	2
计算机科学, 计算机跨学科应用	3

CFAD: A Chinese dataset for fake audio detection

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	3