Zobrazeno 1 - 10
of 2 086
pro vyhledávání: '"Lai, Cheng"'
Autor:
Chen, Ting-Wan, Yang, Sheng, Srivastav, Shubham, Moriya, Takashi J., Smartt, Stephen J., Rest, Sofia, Rest, Armin, Lin, Hsing Wen, Miao, Hao-Yu, Cheng, Yu-Chi, Aryan, Amar, Cheng, Chia-Yu, Fraser, Morgan, Huang, Li-Ching, Lee, Meng-Han, Lai, Cheng-Han, Liu, Yu Hsuan, K, Aiswarya Sankar., Smith, Ken W., Stevance, Heloise F., Wang, Ze-Ning, Anderson, Joseph P., Angus, Charlotte R., de Boer, Thomas, Chambers, Kenneth, Duan, Hao-Yuan, Erasmus, Nicolas, Gao, Hua, Herman, Joanna, Hou, Wei-Jie, Hsiao, Hsiang-Yao, Huber, Mark E., Lin, Chien-Cheng, Lin, Hung-Chin, Magnier, Eugene A., Man, Ka Kit, Moore, Thomas, Ngeow, Chow-Choong, Nicholl, Matt, Ou, Po-Sheng, Pignata, Giuliano, Shiau, Yu-Chien, Sommer, Julian Silvester, Tonry, John L., Wang, Xiao-Feng, Young, David R., Yeh, You-Ting, Zhang, Jujia
We present the discovery and early observations of the nearby Type II supernova (SN) 2024ggi in NGC 3621 at 6.64 +/- 0.3 Mpc. The SN was caught 5.8 (+1.9 -2.9) hours after its explosion by the ATLAS survey. Early-phase, high-cadence, and multi-band p
Externí odkaz:
http://arxiv.org/abs/2406.09270
Autor:
Yang, Shu-wen, Chang, Heng-Jui, Huang, Zili, Liu, Andy T., Lai, Cheng-I, Wu, Haibin, Shi, Jiatong, Chang, Xuankai, Tsai, Hsiang-Sheng, Huang, Wen-Chin, Feng, Tzu-hsun, Chi, Po-Han, Lin, Yist Y., Chuang, Yung-Sung, Huang, Tzu-Hsien, Tseng, Wei-Cheng, Lakhotia, Kushal, Li, Shang-Wen, Mohamed, Abdelrahman, Watanabe, Shinji, Lee, Hung-yi
The foundation model paradigm leverages a shared foundation model to achieve state-of-the-art (SOTA) performance for various tasks, requiring minimal downstream-specific modeling and data annotation. This approach has proven crucial in the field of N
Externí odkaz:
http://arxiv.org/abs/2404.09385
Autor:
Lai, Cheng-I Jeff, Shi, Freda, Peng, Puyuan, Kim, Yoon, Gimpel, Kevin, Chang, Shiyu, Chuang, Yung-Sung, Bhati, Saurabhchand, Cox, David, Harwath, David, Zhang, Yang, Livescu, Karen, Glass, James
We study phrase structure induction from visually-grounded speech. The core idea is to first segment the speech waveform into sequences of word segments, and subsequently induce phrase structure using the inferred segment-level continuous representat
Externí odkaz:
http://arxiv.org/abs/2310.07654
Conventional end-to-end Automatic Speech Recognition (ASR) models primarily focus on exact transcription tasks, lacking flexibility for nuanced user interactions. With the advent of Large Language Models (LLMs) in speech processing, more organic, tex
Externí odkaz:
http://arxiv.org/abs/2309.09843
Autor:
Tsai, Ping-Rui, Huang, Hong-Yue, Hsieh, Jih-Kang, Cheng, Yu-Ting, Tsai, Ying-Pin, Lai, Cheng-Wei, Kao, Yu-Hsuan, Chen, Wen-Chi, Hsiao, Fu-Li, Lin, Po-Heng, Hong, Tzay-Ming
The phenomenon of floating can be fascinating in any field, with its presence seen in art, films, and scientific research. This phenomenon is a captivating and pertinent subject with practical applications, such as Penning traps for antimatter confin
Externí odkaz:
http://arxiv.org/abs/2307.00826
Autor:
Lai, Cheng-I Jeff
The modern paradigm in speech processing has demonstrated the importance of scale and compute for end-to-end speech recognition and synthesis. For instance, state-of-the-art self-supervised speech representation learning models typically consists of
Externí odkaz:
https://hdl.handle.net/1721.1/144615
Past work on unsupervised parsing is constrained to written form. In this paper, we present the first study on unsupervised spoken constituency parsing given unlabeled spoken sentences and unpaired textual data. The goal is to determine the spoken se
Externí odkaz:
http://arxiv.org/abs/2303.08809
Self-supervised learning (SSL) for rich speech representations has achieved empirical success in low-resource Automatic Speech Recognition (ASR) and other speech processing tasks, which can mitigate the necessity of a large amount of transcribed spee
Externí odkaz:
http://arxiv.org/abs/2211.01522