Zobrazeno 1 - 10
of 3 521
pro vyhledávání: '"YIN Xiang"'
We investigate the problem of safe control synthesis for systems operating in environments with uncontrollable agents whose dynamics are unknown but coupled with those of the controlled system. This scenario naturally arises in various applications,
Externí odkaz:
http://arxiv.org/abs/2410.15660
Autor:
Ye, Zhenhui, Zhong, Tianyun, Ren, Yi, Jiang, Ziyue, Huang, Jiawei, Huang, Rongjie, Liu, Jinglin, He, Jinzheng, Zhang, Chen, Wang, Zehan, Chen, Xize, Yin, Xiang, Zhao, Zhou
Talking face generation (TFG) aims to animate a target identity's face to create realistic talking videos. Personalized TFG is a variant that emphasizes the perceptual identity similarity of the synthesized result (from the perspective of appearance
Externí odkaz:
http://arxiv.org/abs/2410.06734
In this paper, we investigate the property verification problem for partially-observed DES from a new perspective. Specifically, we consider the problem setting where the system is observed by two agents independently, each with its own observation.
Externí odkaz:
http://arxiv.org/abs/2409.06588
Explaining the strength of arguments under gradual semantics is receiving increasing attention. For example, various studies in the literature offer explanations by computing the attribution scores of arguments or edges in Quantitative Bipolar Argume
Externí odkaz:
http://arxiv.org/abs/2409.05831
Diagnosability is a system theoretical property characterizing whether fault occurrences in a system can always be detected within a finite time. In this paper, we investigate the verification of diagnosability for cyber-physical systems with continu
Externí odkaz:
http://arxiv.org/abs/2408.06982
Autor:
Huang, Jiawei, Zhang, Chen, Ren, Yi, Jiang, Ziyue, Ye, Zhenhui, Liu, Jinglin, He, Jinzheng, Yin, Xiang, Zhao, Zhou
Voice conversion aims to modify the source speaker's voice to resemble the target speaker while preserving the original speech content. Despite notable advancements in voice conversion these days, multi-lingual voice conversion (including both monoli
Externí odkaz:
http://arxiv.org/abs/2408.04708
Conversational Speech Synthesis (CSS) aims to express a target utterance with the proper speaking style in a user-agent conversation setting. Existing CSS methods employ effective multi-modal context modeling techniques to achieve empathy understandi
Externí odkaz:
http://arxiv.org/abs/2407.21491
There is a growing interest in understanding arguments' strength in Quantitative Bipolar Argumentation Frameworks (QBAFs). Most existing studies focus on attribution-based methods that explain an argument's strength by assigning importance scores to
Externí odkaz:
http://arxiv.org/abs/2407.08497
This paper proposes RefXVC, a method for cross-lingual voice conversion (XVC) that leverages reference information to improve conversion performance. Previous XVC works generally take an average speaker embedding to condition the speaker identity, wh
Externí odkaz:
http://arxiv.org/abs/2406.16326
Autor:
Leofante, Francesco, Ayoobi, Hamed, Dejl, Adam, Freedman, Gabriel, Gorur, Deniz, Jiang, Junqi, Paulino-Passos, Guilherme, Rago, Antonio, Rapberger, Anna, Russo, Fabrizio, Yin, Xiang, Zhang, Dekai, Toni, Francesca
AI has become pervasive in recent years, but state-of-the-art approaches predominantly neglect the need for AI systems to be contestable. Instead, contestability is advocated by AI guidelines (e.g. by the OECD) and regulation of automated decision-ma
Externí odkaz:
http://arxiv.org/abs/2405.10729