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Hwan Shim, Leah Gibbs, Karsyn Rush, Jusung Ham, Subong Kim, Sungyoung Kim and Inyong Choi
Selective attention can be a useful tactic for speech-in-noise (SiN) interpretation as it strengthens cortical responses to attended sensory inputs while suppressing others. This cortical process is referred to as attentional modulation. Our earlier stud...
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Tianwei Lan, Zhaofa Zeng, Liguo Han and Jingwen Zeng
The neural network denoising technique has achieved impressive results by being able to automatically learn the effective signal from the data without any assumptions. However, it has been found experimentally that the performance of the method using neu...
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Mingyong Yin, Yixiao Xu, Teng Hu and Xiaolei Liu
Despite the success of learning-based systems, recent studies have highlighted video adversarial examples as a ubiquitous threat to state-of-the-art video classification systems. Video adversarial attacks add subtle noise to the original example, resulti...
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Lucas Kwai Hong Lui and C. K. M. Lee
This research investigated a mathematical model of earphone design with principal component analysis. Along with simplifying the design problem, a predictive model for the sound quality indicators, namely, total harmonic distortion, power of output, rang...
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Rolf Hoffmann
The objective is to find a Cellular Automata (CA) rule that can generate ?loop patterns?. A loop pattern is given by ones on a zero background showing loops. In order to find out how loop patterns can be locally defined, tentative loop patterns are gener...
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