Xueliang Luo

Xidian University

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Guoli Zheng

Nantong University

Zhengfeng Chen

Xidian University

Zhixing Luo

Nanjing University

Yiming Gao

Nanjing University of Aeronautics and Astronautics

Yubin Zhong

Guangzhou University

Xianbin Hu

Xidian University

Zhu Li

University of Missouri–Kansas City

Wei Wu

Northwest Institute of Nuclear Technology

Rongxi Chen

Sun Yat-sen University Cancer Center

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Guangzhou University

Xidian University

Peking University

Sun Yat-sen University

Nanjing University of Posts and Telecommunications

Nantong University

Beijing University of Posts and Telecommunications

Liaocheng University

National Central University

Nanjing University

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Research and Realization of a SVS Algorithm Based on STFT and NDFT

International Conference on Network Computing and Information Security (2011)

Rongxi Chen Zhixing Luo Yubin Zhong Xueliang Luo Yiming Gao

In this paper, a singing voice splitting (SVS) system is researched and implemented by short-time Fourier transform (STFT) and Nonuniform Discrete Fourier Transform (NDFT). Specifically, there are four processes: T-F decomposition, main pitch detection, T-F information extraction and singing synthesis. Firstly, choose STFT as T-F analysis tool. Then, use NDFT realizing main pitch detection. Next, extract various order harmonics of each frame of music signals, getting the short-time spectrum. Finally, gain singing signals from the short-time spectrum by overlap-add (OLA) algorithm. The experiment result shows that the SVS system based on STFT and NDFT can effectively split singing signals.

Realization (probability)

Pitch detection algorithm

10.1109/ncis.2011.178

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Two-Stage Tripletnet: Light Weight Remote Sensing Scene Classification

2022 IEEE International Conference on Image Processing (ICIP) (2024)

Xianbin Hu Wei Wu Zhu Li Xueliang Luo Zhengfeng Chen

10.1109/icip51287.2024.10647781

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