Zobrazeno 1 - 10
of 30 739
pro vyhledávání: '"Yu-in Jin"'
Autor:
Ji Hyea Hwang
Publikováno v:
Ilha do Desterro, Vol 73, Iss 2, Pp 99-113 (2020)
This article examines Sean O’Casey and Yu Ch’i-jin’s portrayal of the domestic realm in the Dublin Trilogy of the 1920s and Nongchon Trilogy of the 1930s, respectively. Yu is indebted to O’Casey for his themes and style in playwrighting, for
Externí odkaz:
https://doaj.org/article/8bfa58c296ac4b0a8f261918a7e2fc3a
Autor:
Wang, Zhao, Li, Ji-Xia, Zhang, Ke, Wu, 1 Feng-Quan, Tian, Hai-Jun, Niu, Chen-Hui, Zhang, Ju-Yong, Chen, Zhi-Ping, Yu, Dong-Jin, Chen, Xue-Lei
The digital correlator is one of the most crucial data processing components of a radio telescope array. With the scale of radio interferometeric array growing, many efforts have been devoted to developing a cost-effective and scalable correlator in
Externí odkaz:
http://arxiv.org/abs/2406.19013
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
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Autor:
Han, Young Joo, Yu, Ha-Jin
Modeling and synthesizing real sRGB noise is crucial for various low-level vision tasks, such as building datasets for training image denoising systems. The distribution of real sRGB noise is highly complex and affected by a multitude of factors, mak
Externí odkaz:
http://arxiv.org/abs/2312.10112
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:
Han, Young-Joo, Yu, Ha-Jin
Recently, numerous studies have been conducted on supervised learning-based image denoising methods. However, these methods rely on large-scale noisy-clean image pairs, which are difficult to obtain in practice. Denoising methods with self-supervised
Externí odkaz:
http://arxiv.org/abs/2305.09890