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Akademický článek
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Autor:
Chen, Wenxi, Ma, Ziyang, Yan, Ruiqi, Liang, Yuzhe, Li, Xiquan, Xu, Ruiyang, Niu, Zhikang, Zhu, Yanqiao, Yang, Yifan, Liu, Zhanxun, Yu, Kai, Hu, Yuxuan, Li, Jinyu, Lu, Yan, Liu, Shujie, Chen, Xie
Recent advancements highlight the potential of end-to-end real-time spoken dialogue systems, showcasing their low latency and high quality. In this paper, we introduce SLAM-Omni, a timbre-controllable, end-to-end voice interaction system with single-
Externí odkaz:
http://arxiv.org/abs/2412.15649
Autor:
Yang, Yifan, Ma, Ziyang, Liu, Shujie, Li, Jinyu, Wang, Hui, Meng, Lingwei, Sun, Haiyang, Liang, Yuzhe, Xu, Ruiyang, Hu, Yuxuan, Lu, Yan, Zhao, Rui, Chen, Xie
This paper introduces Interleaved Speech-Text Language Model (IST-LM) for streaming zero-shot Text-to-Speech (TTS). Unlike many previous approaches, IST-LM is directly trained on interleaved sequences of text and speech tokens with a fixed ratio, eli
Externí odkaz:
http://arxiv.org/abs/2412.16102
Autor:
Xu, Kaichen, Wu, Qilong, Lu, Yan, Zheng, Yinan, Li, Wenlin, Tang, Xingjie, Wang, Jun, Sun, Xiaobo
The detection of anomalous tissue regions (ATRs) within affected tissues is crucial in clinical diagnosis and pathological studies. Conventional automated ATR detection methods, primarily based on histology images alone, falter in cases where ATRs an
Externí odkaz:
http://arxiv.org/abs/2412.10659
Autor:
Wang, Wenbo, Wei, Fangyun, Zhou, Lei, Chen, Xi, Luo, Lin, Yi, Xiaohan, Zhang, Yizhong, Liang, Yaobo, Xu, Chang, Lu, Yan, Yang, Jiaolong, Guo, Baining
We introduce UniGraspTransformer, a universal Transformer-based network for dexterous robotic grasping that simplifies training while enhancing scalability and performance. Unlike prior methods such as UniDexGrasp++, which require complex, multi-step
Externí odkaz:
http://arxiv.org/abs/2412.02699
Autor:
Liu, Yating, Fan, Lulu, Hu, Lei, Lu, Junqiang, Lu, Yan, Xu, Zelin, Zhu, Jiazheng, Wang, Haochen, Kong, Xu
Deep-learning-based methods have been favored in astrophysics owing to their adaptability and remarkable performance and have been applied to the task of the classification of real and bogus transients. Different from most existing approaches which n
Externí odkaz:
http://arxiv.org/abs/2412.02409
Autor:
Zhao, Wenhua, Echarri, Álvaro Rodríguez, Eljarrat, Alberto, Nerl, Hannah C., Kiel, Thomas, Haas, Benedikt, Halim, Henry, Lu, Yan, Busch, Kurt, Koch, Christoph T.
Electron microscopy techniques such as electron energy-loss spectroscopy (EELS) facilitate the spatio-spectral characterization of plasmonic nanostructures. In this work, a time-dependent perspective is presented, which significantly enhances the uti
Externí odkaz:
http://arxiv.org/abs/2411.19661
Molecular generation and molecular property prediction are both crucial for drug discovery, but they are often developed independently. Inspired by recent studies, which demonstrate that diffusion model, a prominent generative approach, can learn mea
Externí odkaz:
http://arxiv.org/abs/2410.10516
Autor:
Lu, Yan-Der
In this two-part series of articles, we present a new proof comparing the trace formula for a general linear group with that of one of its inner forms. Our methodology relies on the trace formula for Lie algebras, incorporating the notion of non-inva
Externí odkaz:
http://arxiv.org/abs/2410.10059
Sound source localization (SSL) technology plays a crucial role in various application areas such as fault diagnosis, speech separation, and vibration noise reduction. Although beamforming algorithms are widely used in SSL, their resolution at low fr
Externí odkaz:
http://arxiv.org/abs/2409.20031