Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features-Reference-Cited by-同舟云学术

Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia
language:
Short-container-title:

Author:

Xue Jun¹,Fan Cunhang¹,Lv Zhao¹,Tao Jianhua²,Yi Jiangyan²,Zheng Chengshi³,Wen Zhengqi⁴,Yuan Minmin⁵,Shao Shegang⁵

Affiliation:

1. School of Computer Science and Technology, Anhui University, Hefei, China

2. NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Institute of Acoustics, Chinese Academy of Sciences, Beijing, China

4. Qiyuan Laboratory, Beijing, China

5. National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control, Research Institute of Highway Ministry of Transport, Beijing, China

Funder

The National Key Research and Development Program of China

The National Natural Science Foundation of China (NSFC)

The Open Projects Program of National Laboratory of Pattern Recognition

The Open Research Projects of Zhejiang Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3552466.3556526

Reference38 articles.

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2. Subband Modeling for Spoofing Detection in Automatic Speaker Verification

3. Ensemble Models for Spoofing Detection in Automatic Speaker Verification

4. Phillip L De Leon Bryan Stewart and Junichi Yamagishi. 2012. Synthetic Speech Discrimination using Pitch Pattern Statistics Derived from Image Analysis. Phillip L De Leon Bryan Stewart and Junichi Yamagishi. 2012. Synthetic Speech Discrimination using Pitch Pattern Statistics Derived from Image Analysis.

5. End-to-End Post-Filter for Speech Separation With Deep Attention Fusion Features

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