A Comparative Study on Physical and Perceptual Features for Deepfake Audio Detection-Reference-Cited by-同舟云学术

A Comparative Study on Physical and Perceptual Features for Deepfake Audio Detection

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

Li Menglu¹,Ahmadiadli Yasaman¹,Zhang Xiao-Ping¹

Affiliation:

1. Toronto Metropolitan University, Toronto, ON, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3552466.3556523

Reference36 articles.

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3. Sabur Ajibola Alim and N Khair Alang Rashid. 2018. Some commonly used speech feature extraction algorithms. IntechOpen London UK:. Sabur Ajibola Alim and N Khair Alang Rashid. 2018. Some commonly used speech feature extraction algorithms. IntechOpen London UK:.

4. 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).

5. Toward Robust Audio Spoofing Detection: A Detailed Comparison of Traditional and Learned Features

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