Yue Song

Dr. Yue Song


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in International Journal of Agricultural and Biological Engineering
Verified
Journal Article
Open access
PDF file
YSYue Song
Yue Song
YRYanzhao Ren
Yanzhao Ren
XLXinliang Liu
Xinliang Liu
WGWanlin Gao
Wanlin Gao
STSha Tao
Sha Tao
LGLin Guo
Lin Guo
A nonparametric variable step-size subband adaptive filtering algorithm for acoustic echo cancellation

1 January 2019 in International Journal of Agricultural and Biological Engineering
Verified
Journal Article
Open access
PDF file
HZHe Zhihui
He Zhihui
WGWanlin Gao
Wanlin Gao
He XiongkuiHe Xiongkui
He Xiongkui
Minjuan WangMinjuan Wang
Minjuan Wang
YLYunling Liu
Yunling Liu
MSMinistry Of Agriculture And Rural Affairs 2. Key Laboratory Of Agricultural Informationization Standardization
Ministry Of Agriculture And Rural Affairs 2. Key Laboratory Of Agricultural Informationization Standardization
Fuzzy intelligent control method for improving flight attitude stability of plant protection quadrotor UAV

1 March 2020 in IOP Conference Series: Materials Science and Engineering
Verified
Conference Paper
Open access
YSYue Song
Yue Song
STSha Tao
Sha Tao
YRYanzhao Ren
Yanzhao Ren
XLXinliang Liu
Xinliang Liu
WGWanlin Gao
Wanlin Gao
With the popularization of Internet and multimedia technology, a large amount of agriculture-related audio information is rapidly accumulated and widely used. The method of keyword matching retrieval for text data content describing audio files can no longer meet the need of agricultural audio files retrieval in terms of retrieval efficiency and content depth. In view of the above problems in agricultural audio retrieval technology, this paper proposes an audio retrieval method based on inverted index of silence word. In this method, a new hybrid retrieval model combining representation retrieval and semantic retrieval is designed and used. The experimental results show that the recall rate and precision rate of this method are above 99.5%, and the average retrieval time is less than 1s. Therefore, this method greatly improves the efficiency and the accuracy of the audio information retrieval, and can be used for rapid retrieval of agricultural audio.