Zobrazeno 1 - 10
of 13 743
pro vyhledávání: '"Kim, Ju A"'
Autor:
Kim, Ju-Young, Cho, Minhaeng
Optical beams carrying orbital angular momentum (OAM) have gained significant interest due to their unique properties, enhancing various communication systems and enabling applications such as the characterization of material or molecular chirality.
Externí odkaz:
http://arxiv.org/abs/2412.12736
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:
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
The application of speech self-supervised learning (SSL) models has achieved remarkable performance in speaker verification (SV). However, there is a computational cost hurdle in employing them, which makes development and deployment difficult. Sever
Externí odkaz:
http://arxiv.org/abs/2305.17394
Autor:
Oh, Min-Ha, Kim, Young-Hwan, Lee, Seung-Min, Hwang, Gyeong-Seok, Kim, Kyung-Sub, Bae, Jae-Young, Kim, Ju-Young, Lee, Ju-Yong, Kim, Yu-Chan, Kim, Sang Yup, Kang, Seung-Kyun
Developing soft robots that can control their own life-cycle and degrade on-demand while maintaining hyper-elasticity is a significant research challenge. On-demand degradable soft robots, which conserve their original functionality during operation
Externí odkaz:
http://arxiv.org/abs/2302.14331