Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Huang, Ruizhe"'
Existing research suggests that automatic speech recognition (ASR) models can benefit from additional contexts (e.g., contact lists, user specified vocabulary). Rare words and named entities can be better recognized with contexts. In this work, we pr
Externí odkaz:
http://arxiv.org/abs/2407.10303
Autor:
Huang, Ruizhe, Zhang, Xiaohui, Ni, Zhaoheng, Sun, Li, Hira, Moto, Hwang, Jeff, Manohar, Vimal, Pratap, Vineel, Wiesner, Matthew, Watanabe, Shinji, Povey, Daniel, Khudanpur, Sanjeev
Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can cause inaccurate forced alignments (FA), especially at finer granularit
Externí odkaz:
http://arxiv.org/abs/2406.02560
Autor:
Hwang, Jeff, Hira, Moto, Chen, Caroline, Zhang, Xiaohui, Ni, Zhaoheng, Sun, Guangzhi, Ma, Pingchuan, Huang, Ruizhe, Pratap, Vineel, Zhang, Yuekai, Kumar, Anurag, Yu, Chin-Yun, Zhu, Chuang, Liu, Chunxi, Kahn, Jacob, Ravanelli, Mirco, Sun, Peng, Watanabe, Shinji, Shi, Yangyang, Tao, Yumeng, Scheibler, Robin, Cornell, Samuele, Kim, Sean, Petridis, Stavros
TorchAudio is an open-source audio and speech processing library built for PyTorch. It aims to accelerate the research and development of audio and speech technologies by providing well-designed, easy-to-use, and performant PyTorch components. Its co
Externí odkaz:
http://arxiv.org/abs/2310.17864
Autor:
Jiang, Peng, Huang, Ruizhe, Li, Ding, Guo, Yao, Chen, Xiangqun, Luan, Jianhai, Ren, Yuxin, Hu, Xinwei
System auditing is a crucial technique for detecting APT attacks. However, attackers may try to compromise the system auditing frameworks to conceal their malicious activities. In this paper, we present a comprehensive and systematic study of the sup
Externí odkaz:
http://arxiv.org/abs/2307.15895
Publikováno v:
In Measurement 15 June 2024 232
Publikováno v:
In Journal of the Mechanics and Physics of Solids June 2024 187
Autor:
Shi, Yongqian, Huang, Ruizhe, Liu, Miao, Han, Junqiang, Xu, Peihui, Feng, Yuezhan, Fu, Libi, Yang, Fuqiang, Yu, Bin
Publikováno v:
In Composites Part B 1 February 2024 270
This paper presents an efficient algorithm for n-gram language model adaptation under the minimum discrimination information (MDI) principle, where an out-of-domain language model is adapted to satisfy the constraints of marginal probabilities of the
Externí odkaz:
http://arxiv.org/abs/2008.02385
Autor:
Liu, Miao, Chen, Kexin, Shi, Yongqian, Wang, Hengrui, Wu, Shijie, Huang, Ruizhe, Feng, Yuezhan, Tang, Longcheng, Liu, Xiaohuan, Song, Pingan
Publikováno v:
In Journal of Materials Science & Technology 10 December 2023 166:133-144
Autor:
Liu, Miao, Wu, Shijie, Huang, Ruizhe, Shi, Yongqian, Wang, Hengrui, Feng, Yuezhan, Tang, Longcheng, Gao, Jiefeng, Song, Pingan, Lai, Yuekun
Publikováno v:
In Composites Part A December 2023 175