Zobrazeno 1 - 10
of 2 274
pro vyhledávání: '"Zhang Chunlei"'
Publikováno v:
中国工程科学, Vol 26, Iss 4, Pp 134-151 (2024)
To promote the development and application of continuous monitoring technologies for CO2 emissions from thermal power plants in China and support the establishment of a carbon emission statistics and accounting system in the country, this study analy
Externí odkaz:
https://doaj.org/article/105fe8c3ddd44c7188708062b5b03117
Publikováno v:
He jishu, Vol 47, Iss 1, Pp 76-86 (2024)
BackgroundWith the rapid development of nuclear energy and the wide application of nuclear technology, the radioactivity level of bodies of water has become a highly concerning issue for the public and governments, especially after the Fukushima nucl
Externí odkaz:
https://doaj.org/article/c7fa35ea8a59453991c93ee0e05beca3
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 6, Pp 913-918 (2023)
Objective To analyze the effects of Huanglian ointment combined with local hyperbaric oxygen (HBO) spray on radiation-induced skin injury (RISI) and the levels of serum interleukin-6 (IL-6) , tumor necrosis factor-α (TNF-α) and epidermal growth fac
Externí odkaz:
https://doaj.org/article/bd3f1c687be0439cbc51b06aa702d4ce
Autor:
Tian, Jinchuan, Zhang, Chunlei, Shi, Jiatong, Zhang, Hao, Yu, Jianwei, Watanabe, Shinji, Yu, Dong
Recent advancements in text-to-speech (TTS) have shown that language model (LM)-based systems offer competitive performance to their counterparts. Further optimization can be achieved through preference alignment algorithms, which adjust LMs to align
Externí odkaz:
http://arxiv.org/abs/2409.12403
Autor:
Shi, Mohan, Jin, Zengrui, Xu, Yaoxun, Xu, Yong, Zhang, Shi-Xiong, Wei, Kun, Shao, Yiwen, Zhang, Chunlei, Yu, Dong
Recognizing overlapping speech from multiple speakers in conversational scenarios is one of the most challenging problem for automatic speech recognition (ASR). Serialized output training (SOT) is a classic method to address multi-talker ASR, with th
Externí odkaz:
http://arxiv.org/abs/2408.17431
Recent advancements in speech synthesis witness significant benefits by leveraging discrete tokens extracted from self-supervised learning (SSL) models. Discrete tokens offer higher storage efficiency and greater operability in intermediate represent
Externí odkaz:
http://arxiv.org/abs/2406.08416
Autor:
Zhang Chunlei, Han Junke
Publikováno v:
E3S Web of Conferences, Vol 438, p 01012 (2023)
The principle of Eiffel Effect on transmission towers was analyzed, and the necessity of considering Eiffel Effect on transmission towers, especially multi-loop transmission towers, was proposed. A comparative analysis on calculation methods for Eiff
Externí odkaz:
https://doaj.org/article/3ae816ca6cad4c4c888fb6d323bb2f69
Autor:
Wang Yilin, Zhang Chunlei
Publikováno v:
MATEC Web of Conferences, Vol 355, p 03045 (2022)
In order to meet the transmission needs of WDM-PON system, a WDM-PON full-duplex system based on reflective semiconductor optical amplifier (RSOA) remodulation was constructed in this paper. The downlink transmission rate of the system was 40Gb/s, an
Externí odkaz:
https://doaj.org/article/aa33767fc1fb469a9556904b26354a43
Autor:
Yang, Muqiao, Zhang, Chunlei, Xu, Yong, Xu, Zhongweiyang, Wang, Heming, Raj, Bhiksha, Yu, Dong
Speech enhancement aims to improve the quality of speech signals in terms of quality and intelligibility, and speech editing refers to the process of editing the speech according to specific user needs. In this paper, we propose a Unified Speech Enha
Externí odkaz:
http://arxiv.org/abs/2310.00900
Autor:
Wang, Heming, Yu, Meng, Zhang, Hao, Zhang, Chunlei, Xu, Zhongweiyang, Yang, Muqiao, Zhang, Yixuan, Yu, Dong
Enhancing speech signal quality in adverse acoustic environments is a persistent challenge in speech processing. Existing deep learning based enhancement methods often struggle to effectively remove background noise and reverberation in real-world sc
Externí odkaz:
http://arxiv.org/abs/2309.09028