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Fooling End-To-End Speaker Verification With Adversarial Examples.

, , , and . ICASSP, page 1962-1966. IEEE, (2018)

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Fooling End-To-End Speaker Verification With Adversarial Examples., , , and . ICASSP, page 1962-1966. IEEE, (2018)Hide and Speak: Deep Neural Networks for Speech Steganography., , , , and . CoRR, (2019)Vowel duration measurement using deep neural networks., , and . MLSP, page 1-6. IEEE, (2015)fairseq S\^2: A Scalable and Integrable Speech Synthesis Toolkit., , , , , , , and . EMNLP (Demos), page 143-152. Association for Computational Linguistics, (2021)To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition., , , , , and . ICASSP, page 3742-3746. IEEE, (2019)Sequence Segmentation Using Joint RNN and Structured Prediction Models., , , and . CoRR, (2016)Houdini: Fooling Deep Structured Prediction Models., , , and . CoRR, (2017)Automatic measurement of vowel duration via structured prediction., , , , , and . CoRR, (2016)Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples., , , and . NIPS, page 6977-6987. (2017)Learning Similarity Function for Pronunciation Variations., , and . CoRR, (2017)