Zobrazeno 1 - 10
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pro vyhledávání: '"Wang, Shaojun"'
Autor:
Li, Zhigen, Peng, Jianxiang, Wang, Yanmeng, Shen, Tianhao, Zhang, Minghui, Su, Linxi, Wu, Shang, Wu, Yihang, Wang, Yuqian, Wang, Ye, Hu, Wei, Li, Jianfeng, Wang, Shaojun, Xiao, Jing, Xiong, Deyi
Controllability and proactivity are crucial properties of autonomous conversational agents (CAs). Controllability requires the CAs to follow the standard operating procedures (SOPs), such as verifying identity before activating credit cards. Proactiv
Externí odkaz:
http://arxiv.org/abs/2407.03884
Autor:
Zhuang, Ziyang, Miao, Chenfeng, Zou, Kun, Gong, Shuai, Fang, Ming, Wei, Tao, Li, Zijian, Hu, Wei, Wang, Shaojun, Xiao, Jing
Non-autoregressive (NAR) automatic speech recognition (ASR) models predict tokens independently and simultaneously, bringing high inference speed. However, there is still a gap in the accuracy of the NAR models compared to the autoregressive (AR) mod
Externí odkaz:
http://arxiv.org/abs/2406.08835
Autor:
Wang, Yanmeng, Bai, Jun, Wang, Ye, Zhang, Jianfei, Rong, Wenge, Ji, Zongcheng, Wang, Shaojun, Xiao, Jing
Dual-Encoders is a promising mechanism for answer retrieval in question answering (QA) systems. Currently most conventional Dual-Encoders learn the semantic representations of questions and answers merely through matching score. Researchers proposed
Externí odkaz:
http://arxiv.org/abs/2206.02978
The Conformer model is an excellent architecture for speech recognition modeling that effectively utilizes the hybrid losses of connectionist temporal classification (CTC) and attention to train model parameters. To improve the decoding efficiency of
Externí odkaz:
http://arxiv.org/abs/2204.03889
SLU combines ASR and NLU capabilities to accomplish speech-to-intent understanding. In this paper, we compare different ways to combine ASR and NLU, in particular using a single Conformer model with different ways to use its components, to better und
Externí odkaz:
http://arxiv.org/abs/2204.03879
Autor:
Wang, Shaojun1 (AUTHOR) wangshaojun@lzufe.edu.cn, Wen, Fei2 (AUTHOR) wenfeimath@163.com, Wang, Guoxing1 (AUTHOR) wanggx@lzufe.edu.cn, Li, Zepeng3 (AUTHOR) lizp@lzu.edu.cn
Publikováno v:
Mathematics (2227-7390). Apr2024, Vol. 12 Issue 7, p1105. 7p.
Autor:
She, Chunhua, Sun, Zengfeng, Zhang, Zhen, Wang, Shaojun, Zhang, Xiaohui, Yin, Qiang, Liu, Qun, Piao, Yinzhe, Wang, Peng, Wang, Xiaoguang, Li, Wenliang, Li, Peng
Publikováno v:
In World Neurosurgery March 2024 183:e649-e657
Autor:
Kang, Xudong, Du, Zhaoxin, Wang, Zhen, Yue, Zhiyong, Wang, Shaojun, Li, Jie, Gong, Tianhao, Cheng, Jun, Liu, Jingshun, Zhang, Shuzhi
Publikováno v:
In Journal of Materials Research and Technology March-April 2024 29:335-343
Publikováno v:
In Cold Regions Science and Technology March 2024 219
Autor:
Miao, Chenfeng, Liang, Shuang, Liu, Zhencheng, Chen, Minchuan, Ma, Jun, Wang, Shaojun, Xiao, Jing
In this work, we address the Text-to-Speech (TTS) task by proposing a non-autoregressive architecture called EfficientTTS. Unlike the dominant non-autoregressive TTS models, which are trained with the need of external aligners, EfficientTTS optimizes
Externí odkaz:
http://arxiv.org/abs/2012.03500