Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Yanhua Long"'
Autor:
Jiangyu Han, Yanhua Long
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-17 (2023)
Abstract Recently, supervised speech separation has made great progress. However, limited by the nature of supervised training, most existing separation methods require ground-truth sources and are trained on synthetic datasets. This ground-truth rel
Externí odkaz:
https://doaj.org/article/8ec6c0c95713493489578d2f43b2a827
Publikováno v:
Biomimetics, Vol 9, Iss 2, p 80 (2024)
With rapid development of Artificial Intelligence (AI), researchers have found many bioinspired AI applications, such as bioinspired images and speech processing, which can increase accuracy [...]
Externí odkaz:
https://doaj.org/article/d89a3d5b8c0f4994b203b97325056a6e
Publikováno v:
BMC Microbiology, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Actinomycetes are important microbes, and they are very important for developing active substances for useful drugs. Actinomycetes are numerous inhabitants, and they are widely distributed in the nest of fungus-growing termites. P
Externí odkaz:
https://doaj.org/article/91fd06e72e03411ab3c161ec0e9f3e10
Publikováno v:
Sensors, Vol 23, Iss 21, p 8984 (2023)
Acoustic sensing provides crucial data for anomalous sound detection (ASD) in condition monitoring. However, building a robust acoustic-sensing-based ASD system is challenging due to the unsupervised nature of training data, which only contain normal
Externí odkaz:
https://doaj.org/article/e7aeff834adc474dae6de7b5b22ff91d
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-14 (2021)
Abstract Code-switching (CS) refers to the phenomenon of using more than one language in an utterance, and it presents great challenge to automatic speech recognition (ASR) due to the code-switching property in one utterance, the pronunciation variat
Externí odkaz:
https://doaj.org/article/92d128eb038247faab479c14647cde6a
Autor:
Xiayu Li, Yong Zhang, Linlin Zhou, Tian Gao, Yu Zhao, Song Liu, Qingqing Su, Chaoling Wei, Yunqiu Yang, Yanhua Long
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
The gut bacteria of insects play an important role in their nutrition, maintenance, and ecological adaption. Ectropis grisescens is the most important leaf-feeding pest in tea gardens in China. In order to explore whether E. grisescens adaptation und
Externí odkaz:
https://doaj.org/article/6a3d7952b01941d8a63e5c27b3d4307a
Autor:
Zhenzhen Wu, Qingqing Su, Yuchen Cui, Hongzhu He, Jiali Wang, Yong Zhang, Yu Zhao, Hassan Abul, Yunqiu Yang, Yanhua Long
Publikováno v:
BMC Microbiology, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background The experimental materials were a 60-year-old tea tree (Camellia sinensis cv. Shu Cha Zao; SCZ) (the mother plant) and 1-year-old and 20-year-old plants of SCZ that originated as mother plant cuttings. The aim of this study was to
Externí odkaz:
https://doaj.org/article/0c5c9b1361c146c19c7e5b46a6638a5f
Autor:
Yong Zhang, Song Liu, Rui Jiang, Chen Zhang, Tian Gao, Yun Wang, Cui Liu, Yanhua Long, Yinglao Zhang, Yunqiu Yang
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Members of the Wolbachia genus manipulate insect–host reproduction and are the most abundant bacterial endosymbionts of insects. The tea Geometrid moth Ectropis grisescens (Warren) (Lepidoptera: Geometridae) is the most devastating insect pest of t
Externí odkaz:
https://doaj.org/article/b6b3aed6524742c8926f8569f259f9ad
Publikováno v:
IEEE Access, Vol 7, Pp 133615-133627 (2019)
This study investigated large-scale semi-supervised training (SST) to improve acoustic models for automatic speech recognition. The conventional self-training, the recently proposed committee-based SST using heterogeneous neural networks and the latt
Externí odkaz:
https://doaj.org/article/edaabef80cd04ce49e330cae90d977a9
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0241809 (2020)
In recent years, great progress has been made in the technical aspects of automatic speaker verification (ASV). However, the promotion of ASV technology is still a very challenging issue, because most technologies are still very sensitive to new, unk
Externí odkaz:
https://doaj.org/article/69163b8a777a4531b779a9d01a014906