Source and System-Based Modulation Approach for Fake Speech Detection-Reference-Cited by-同舟云学术

Source and System-Based Modulation Approach for Fake Speech Detection

Published:2023 Issue: Volume: Page:142-155
ISSN:0302-9743
Container-title:Speech and Computer
language:
Short-container-title:

Author:

Sadashiv T. N. Rishith,Kumar Devesh,Agarwal Ayush,Tzudir Moakala,Mishra Jagabandhu,Prasanna S. R. Mahadeva

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-48309-7_12

Reference29 articles.

1. Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case. https://www.wsj.com/articles/fraudsters-use-ai-to-mimic-ceos-voice-in-unusual-cybercrime-case-11567157402

2. Alzantot, M., Wang, Z., Srivastava, M.B.: Deep residual neural networks for audio spoofing detection. arXiv preprint arXiv:1907.00501 (2019)

3. Ballesteros, D.M., Rodriguez-Ortega, Y., Renza, D., Arce, G.: Deep4snet: deep learning for fake speech classification. Expert Syst. Appl. 184, 115465 (2021)

4. Black, A.W.: CMU wilderness multilingual speech dataset. In: ICASSP 2019–2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5971–5975. IEEE (2019)

5. Cassani, R., Albuquerque, I., Monteiro, J., Falk, T.H.: AMA: an open-source amplitude modulation analysis toolkit for signal processing applications. In: 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1–4 (2019). https://doi.org/10.1109/GlobalSIP45357.2019.8969210

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1. Fake Speech Detection in Domain Variability Scenario;2024 National Conference on Communications (NCC);2024-02-28