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检索条件"机构=Science and Technology on Radar Signal Processing Laboratory"
1808 条 记 录,以下是51-60 订阅
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Separation of Mixed Near-field and Far-field Sources and DOA Estimation based on Deep Learning  15
Separation of Mixed Near-field and Far-field Sources and DOA...
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15th IEEE International Conference on Advanced Infocomm technology, ICAIT 2023
作者: Qi, Meibin Ren, Weijie Xiang, Houhong Hefei University of Technology Institude of Signal and Information Processing Hefei230601 China Hefei University of Technology Radar Technology and Innovative Application Laboratory Hefei230601 China
Aiming at the common mixed sources including near-field(NF) and far-field(FF), this paper proposes a mixed sources direction-of-arrival(DOA) estimation method based on Deep Learning(DL). By using the real part and ima... 详细信息
来源: 评论
Improving Speech Perceptual Quality and Intelligibility Through Sub-band Temporal Envelope Characteristics  18th
Improving Speech Perceptual Quality and Intelligibility Thr...
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18th National Conference on Man-Machine Speech Communication, NCMMSC 2023
作者: Wu, Ruilin Huang, Zhihua Song, Jingyi Liang, Xiaoming School of Computer Science and Technology Xinjiang University Urumqi China Key Laboratory of Signal Detection and Processing in Xinjiang Urumqi China
In the speech enhancement (SE) model, using auxiliary loss based on acoustic parameters can improve enhancement effects. However, currently used acoustic parameters focus on frequency domain information, neglecting th... 详细信息
来源: 评论
MSFSAN: A Novel Multi-Scale Spatio-Temporal Feature Screening Attention Network for Urban Carbon Emission Prediction
MSFSAN: A Novel Multi-Scale Spatio-Temporal Feature Screenin...
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Wang, Ben Qin, Xizhong Qin, Jiwei Zhang, Xiaoyu Ma, Haodong College of Computer Science and Technology Xinjiang University Xinjiang Key Laboratory of Signal Detection and Processing Ürümqi830046 China
In order to cope with the increasingly severe global energy conservation and emission reduction problems, research on urban carbon emission prediction is of great significance. The existing methods mainly use time ser... 详细信息
来源: 评论
A Lightweight Music Source Separation Model with Graph Convolution Network  1
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18th National Conference on Man-Machine Speech Communication, NCMMSC 2023
作者: Zhu, Mengying Wang, Liusong Hu, Ying School of Computer Science and Technology Xinjiang University Urumqi China Key Laboratory of Signal Detection and Processing in Xinjiang Urumqi China
With the rapid advancement of deep neural networks, there has been a significant improvement in the performance of music source separation methods. However, most of them primarily focus on improving their separation p... 详细信息
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HF signal Protocol Unique Sequence Classification based on Deep Learning  16
HF Signal Protocol Unique Sequence Classification based on D...
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16th International Conference on signal processing Systems, ICSPS 2024
作者: Li, Weihao Wang, Keren You, Ling Huang, Zhitao Xiong, Gang College of Electronic Science and Technology National University of Defense Technology Changsha410073 China National Key Laboratory on Blind Signal Processing Chengdu610041 China
This paper studies the classification of high frequency (HF) signal unique sequence like the preamble, which helps to identify the HF communication protocol. Targeting at a processing flow of sliding window-based uniq... 详细信息
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Multi-speaker Emotional Speech Synthesis Based on Self-Supervised Speech Representations  5
Multi-speaker Emotional Speech Synthesis Based on Self-Super...
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5th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2024
作者: Yin, Mingming Huang, Zhihua Lu, Kexin Zhou, Haiyang School of Computer Science and Technology Xinjiang University Urumqi China School of Computer Science and Technology Xinjiang University Key Laboratory of Signal Detection and Processing Urumqi China
In recent years, emotional speech synthesis has shown considerable progress. However, some existing emotional speech synthesis methods only model emotion from a single scale, resulting in only global or average emotio... 详细信息
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Shared Vision Transformer Helps Scene Text Retrieval  4th
Shared Vision Transformer Helps Scene Text Retrieval
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4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024
作者: Luo, Hailong Ibrayim, Mayire Hamdulla, Askar Deng, Qilin School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China
The scene text retrieval system can search all the images containing the query text in the gallery based on the input query text and locate the position of the query text at the same time. The current state-... 详细信息
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MFDPonzi: Detecting Ethereum Ponzi Schemes Using Static Features from Novel Opcode Sequences
MFDPonzi: Detecting Ethereum Ponzi Schemes Using Static Feat...
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2025 IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Cao, Longwei Qin, Jiwei Zhang, Xuzi College of Computer Science and Technology Xinjiang University Urumqi China Xinjiang Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi China
Ethereum, the first blockchain platform to support smart contracts, has become a target for various cybercrimes, particularly financial frauds like Ponzi schemes. Ponzi schemes on Ethereum are known as Smart Ponzi Sch... 详细信息
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Improving ECAPA-TDNN Performance with Coordinate Attention
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Journal of Shanghai Jiaotong University (science) 2024年 1-7页
作者: Liu, Shuanghong Song, Zhida He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering and Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
The current mainstream networks, such as squeeze and excitation residual neural network (SE-ResNet) and emphasized channel attention, propagation and aggregation based time delay neural network (ECAPA-TDNN), enhance t... 详细信息
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Difference Bonds Consistency and Complementarity to Enhance Multimodal Representation Learning
Difference Bonds Consistency and Complementarity to Enhance ...
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2025 IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: He, Congbing Song, Sensen Jia, Zhenhong Zhao, Hui Xinjiang Uygur Autonomous Region Signal Detection and Processing Key Laboratory School of Computer Science and Technology Xinjiang University Urumqi830046 China
In the field of multimodal representation learning, existing research has primarily focused on exploring modal consistency and modal complementarity, while overlooking the positive role of modal difference. Moreover, ... 详细信息
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