1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Time-Domain Audio Source Separation Based On Wave-U-Net Combined With Discrete Wavelet Transform

Time-Domain Audio Source Separation Based On Wave-U-Net Combined With Discrete Wavelet Transform

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

We propose a time-domain audio source separation method using down-sampling (DS) and up-sampling (US) layers based on a discrete wavelet transform (DWT). The proposed method is based on one of the state-of-the-art deep neural networks, Wave-U-Net, which s

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Time-Domain Audio Source Separation Based On Wave-U-Net Combined With Discrete Wavelet Transform

00:14:23

0 views

We propose a time-domain audio source separation method using down-sampling (DS) and up-sampling (US) layers based on a discrete wavelet transform (DWT). The proposed method is based on one of the state-of-the-art deep neural networks, Wave-U-Net, which s