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cs.SD2022
On the robustness of non-intrusive speech quality model by adversarial examples
Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao
It has been shown recently that deep learning based models are effective on speech quality prediction and could outperform traditional metrics in various perspectives. Although net…
cs.SD2021★ 1 cited
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
Yu-Chen Lin, Cheng Yu, Yi-Te Hsu +3
Numerous compression and acceleration strategies have achieved outstanding results on classification tasks in various fields, such as computer vision and speech signal processing.…