Dec 24, 2019 · In this paper, we try to potentially enhance singing voice separation performance based on a generative ResNet structure. Experiments show that ...
Jan 5, 2020 · We propose a novel spectrogram-generative model to separate the two sources in the time-frequency domain inspired by Residual blocks, Squeeze and Excitation ...
Congzhou Tian, Hangyu Li, Deshun Yang, Xiaoou Chen: Gen-Res-Net: A Novel Generative Model for Singing Voice Separation. MMM (1) 2020: 26-36.
Gen-Res-Net: A Novel Generative Model for Singing Voice Separation · Author Picture Congzhou Tian. Peking University, Beijing, China. , · Author Picture Hangyu Li.
Gen-Res-Net: A Novel Generative Model for Singing Voice Separation · Chapter. Jan 2020; MultiMedia Modeling. In most cases, modeling in the time-frequency ...
May 6, 2019 · In this work, we propose a novel method for performing the separation. The method is based on applying a learned function twice: once on the ...
It is shown that deep clustering outperforms conventional networks on a singing voice separation task, in both matched and mismatched conditions.
Automatic singing voice separation, which intends to extract the singing voice ... Gen-Res-Net: A Novel Generative Model for Singing Voice Separation. Chapter.
Jul 15, 2023 · In this paper, the acoustic signals with distortion and noise perceived by the robot are used to study the separation of singing voices in real ...
Missing: Gen- | Show results with:Gen-
Gen-Res-Net: A Novel Generative Model for Singing Voice Separation · Congzhou TianHangyu LiDeshun YangXiaoou Chen. Computer Science. MMM. 2020. TLDR. This work ...