Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers

Author:

Monteiro João,Alam Jahangir,Falk Tiago H.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference64 articles.

1. Spoofing detection employing infinite impulse response constant q transform-based feature representations;Alam,2017

2. Boosting the performance of spoofing detection systems on replay attacks using q-logarithm domain feature normalization;Alam,2018

3. Development of crim system for the automatic speaker verification spoofing and countermeasures challenge 2015;Alam,2015

4. Spoofing detection on the ASVspoof2015 challenge corpus employing deep neural networks;Alam,2016

5. Bai, S., Kolter, J. Z., Koltun, V., 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv:1803.01271.

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2. Improved One-class Learning for Voice Spoofing Detection;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

3. Quefrency Domain Features with Residual Networks for Spoof Speech Detection;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

4. SiFDetectCracker: An Adversarial Attack Against Fake Voice Detection Based on Speaker-Irrelative Features;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Enhancing Out-of-Domain Detection for Speech Spoofing Countermeasure via Supervised Contrastive Learning;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

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