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pro vyhledávání: '"Jeon, Yejin"'
The difficulty of acquiring abundant, high-quality data, especially in multi-lingual contexts, has sparked interest in addressing low-resource scenarios. Moreover, current literature rely on fixed expressions from language IDs, which results in the i
Externí odkaz:
http://arxiv.org/abs/2409.18622
Research on hate speech has predominantly revolved around detection and interpretation from textual inputs, leaving verbal content largely unexplored. While there has been limited exploration into hate speech detection within verbal acoustic speech i
Externí odkaz:
http://arxiv.org/abs/2408.06065
Contemporary neural speech synthesis models have indeed demonstrated remarkable proficiency in synthetic speech generation as they have attained a level of quality comparable to that of human-produced speech. Nevertheless, it is important to note tha
Externí odkaz:
http://arxiv.org/abs/2404.02592
Autor:
Jeon, Yejin, Lee, Gary Geunbae
This paper explores the task of language-agnostic speaker replication, a novel endeavor that seeks to replicate a speaker's voice irrespective of the language they are speaking. Towards this end, we introduce a multi-level attention aggregation appro
Externí odkaz:
http://arxiv.org/abs/2403.04111
Zero-shot multi-speaker TTS aims to synthesize speech with the voice of a chosen target speaker without any fine-tuning. Prevailing methods, however, encounter limitations at adapting to new speakers of out-of-domain settings, primarily due to inadeq
Externí odkaz:
http://arxiv.org/abs/2401.02014
Dialogue state tracking plays a crucial role in extracting information in task-oriented dialogue systems. However, preceding research are limited to textual modalities, primarily due to the shortage of authentic human audio datasets. We address this
Externí odkaz:
http://arxiv.org/abs/2312.01842
Autor:
Maier, Jennifer, Monroy, Luis Carlos Rivera, Syben, Christopher, Jeon, Yejin, Choi, Jang-Hwan, Hall, Mary Elizabeth, Levenston, Marc, Gold, Garry, Fahrig, Rebecca, Maier, Andreas
Analyzing knee cartilage thickness and strain under load can help to further the understanding of the effects of diseases like Osteoarthritis. A precise segmentation of the cartilage is a necessary prerequisite for this analysis. This segmentation ta
Externí odkaz:
http://arxiv.org/abs/1912.01362
Akademický článek
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Publikováno v:
In Biomedicine & Pharmacotherapy April 2023 160
Publikováno v:
In Biomedicine & Pharmacotherapy January 2023 157