CycleGAN-Based Speech Mode Transformation Model for Robust Multilingual ASR
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-022-02008-4.pdf
Reference55 articles.
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3. L. Burget, P. Schwarz, M. Agarwal, P. Akyazi, K. Feng, A. Ghoshal, O. lembek, N. Goel, M. Karafiát, D. Povey, et al., Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models, in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4334–4337. IEEE (2010)
4. N. Carlini, D. Wagner, Towards evaluating the robustness of neural networks, in 2017 IEEE Symposium on Security and Privacy (SP), pp. 39–57. IEEE (2017)
5. N. Carlini, D. Wagner, Audio adversarial examples: targeted attacks on speech-to-text, in 2018 IEEE Security and Privacy Workshops (SPW), pp. 1–7. IEEE (2018)
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1. Correction to: CycleGAN-Based Speech Mode Transformation Model for Robust Multilingual ASR;Circuits, Systems, and Signal Processing;2022-06-04
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