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Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models.

, , and . CoRR, (2022)

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Audio Event Detection using Weakly Labeled Data., and . ACM Multimedia, page 1038-1047. ACM, (2016)Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints., , , and . ICA, volume 5441 of Lecture Notes in Computer Science, page 330-337. Springer, (2009)Analysing Speech for Clinical Applications., , , , and . SLSP, volume 11171 of Lecture Notes in Computer Science, page 3-6. Springer, (2018)The Basics of Automatic Speech Recognition., , and . Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, (2012)Speech Analytics for Medical Applications., , , , and . TSD, volume 11107 of Lecture Notes in Computer Science, page 26-37. Springer, (2018)Short-term analysis for estimating physical parameters of speakers., , and . IWBF, page 1-6. IEEE, (2016)Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech Recognition., and . Robust Speech Recognition of Uncertain or Missing Data, Springer, (2011)A hierarchical system for word discovery exploiting DTW-based initialization., , , and . ASRU, page 386-391. IEEE, (2013)Tracking noise via dynamical systems with a continuum of states., and . ICASSP (1), page 396-399. IEEE, (2003)Active-set newton algorithm for non-negative sparse coding of audio., , , and . ICASSP, page 3092-3096. IEEE, (2014)