SpoTNet: A spoofing-aware Transformer Network for Effective Synthetic Speech Detection

Author:

Khan Awais1ORCID,Malik Khalid Mahmood1ORCID

Affiliation:

1. Department of Computer Science & Engineering, Oakland University, USA

Funder

National Science Foundation

Michigan Translational Research and Commercialization, Advanced Computing Technologies

Publisher

ACM

Reference29 articles.

1. Moustafa Alzantot , Ziqi Wang , and Mani  B Srivastava . 2019. Deep residual neural networks for audio spoofing detection. arXiv preprint arXiv:1907.00501 ( 2019 ). Moustafa Alzantot, Ziqi Wang, and Mani B Srivastava. 2019. Deep residual neural networks for audio spoofing detection. arXiv preprint arXiv:1907.00501 (2019).

2. Synthetic speech spoofing detection using MFCC and radial basis function SVM;Bhangale B;IOSR J. Eng.(IOSRJEN),2018

3. Synthetic speech detection through short-term and long-term prediction traces

4. Zhuxin Chen Zhifeng Xie Weibin Zhang and Xiangmin Xu. 2017. ResNet and Model Fusion for Automatic Spoofing Detection.. In Interspeech. 102–106. Zhuxin Chen Zhifeng Xie Weibin Zhang and Xiangmin Xu. 2017. ResNet and Model Fusion for Automatic Spoofing Detection.. In Interspeech. 102–106.

5. Synthetic Speech Detection Based on Local Autoregression and Variance Statistics

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1. Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection;2023 IEEE International Workshop on Information Forensics and Security (WIFS);2023-12-04

2. MAD ’23 Workshop: Multimedia AI against Disinformation;Proceedings of the 2023 ACM International Conference on Multimedia Retrieval;2023-06-12

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