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pro vyhledávání: '"Kim, Ju"'
The growing demand for ultra-fast telecommunications, autonomous driving, and futuristic technologies highlights the crucial role of active beam steering at the nanoscale. This is essential for applications like LiDAR, beam-forming, and holographic d
Externí odkaz:
http://arxiv.org/abs/2410.00806
Autor:
Ciubotaru, Dan, Kim, Ju-Lee
Let $G$ be a connected reductive $p$-adic group. As verified for unipotent representations, it is expected that there is a close relation between the (Harish-Chandra-Howe) wavefronts sets of irreducible smooth representations and their Langlands para
Externí odkaz:
http://arxiv.org/abs/2408.07581
Autor:
Kim, Seung-bin, Lim, Chan-yeong, Heo, Jungwoo, Kim, Ju-ho, Shin, Hyun-seo, Koo, Kyo-Won, Yu, Ha-Jin
In speaker verification systems, the utilization of short utterances presents a persistent challenge, leading to performance degradation primarily due to insufficient phonetic information to characterize the speakers. To overcome this obstacle, we pr
Externí odkaz:
http://arxiv.org/abs/2406.07103
Autor:
Kim, Hyeong-Joon, Kim, Hye Hyeon, Ku, Hosuk, Yoo, Kyung Don, Lee, Suehyun, Park, Ji In, Kim, Hyo Jin, Kim, Kyeongmin, Chung, Moon Kyung, Lee, Kye Hwa, Kim, Ju Han
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 6, p e26230 (2021)
BackgroundThe Health Avatar Platform provides a mobile health environment with interconnected patient Avatars, physician apps, and intelligent agents (termed IoA3) for data privacy and participatory medicine; however, its fully decentralized architec
Externí odkaz:
https://doaj.org/article/a3a1c6a0a4f144a3afb00b71ee8bdf3a
Autor:
Ciubotaru, Dan, Kim, Ju-Lee
We are interested in the interplay between the Langlands parameter of a smooth irreducible representation of the reductive $p$-adic group and the wavefront set of the representation, an invariant that appears naturally in the local character expansio
Externí odkaz:
http://arxiv.org/abs/2403.14261
Audio deepfake detection (ADD) is the task of detecting spoofing attacks generated by text-to-speech or voice conversion systems. Spoofing evidence, which helps to distinguish between spoofed and bona-fide utterances, might exist either locally or gl
Externí odkaz:
http://arxiv.org/abs/2309.08208
Background noise considerably reduces the accuracy and reliability of speaker verification (SV) systems. These challenges can be addressed using a speech enhancement system as a front-end module. Recently, diffusion probabilistic models (DPMs) have e
Externí odkaz:
http://arxiv.org/abs/2309.08320
Background noise reduces speech intelligibility and quality, making speaker verification (SV) in noisy environments a challenging task. To improve the noise robustness of SV systems, additive noise data augmentation method has been commonly used. In
Externí odkaz:
http://arxiv.org/abs/2307.10628