Texture analysis of edge mapped audio spectrogram for spoofing attack detection

Author:

Meriem Fedila,Messaoud Bengherabi,Bahia Yahya-Zoubir

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference85 articles.

1. Adiban M, Sameti H, Shehnepoor S (2020) Replay spoofing countermeasure using autoencoder and siamese networks on asvspoof 2019 challenge. Comput Speech Lang 64:101105

2. Al-Karawi K A, Mohammed D Y (2021) Improving short utterance speaker verification by combining mfcc and entrocy in noisy conditions. Multimed Tools Applic 80(14):22231–22249

3. Alegre F, Amehraye A, Evans N (2013). In: 2013 IEEE Sixth international conference on Biometrics: Theory, Applications and Systems (BTAS). IEEE, pp 1–8

4. Alegre F, Vipperla R, Amehraye A, Evans N (2013). In: INTERSPEECH 2013, 14th annual conference of the international speech communication association, Lyon: France (2013), p 5p

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

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