Name
Title | ||
|---|---|---|
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation |
Abstract | ||
|---|---|---|
The advent of deep learning has led to the prevalence of deep neural network architectures for monaural music source separation, with end-to-end approaches that operate directly on the waveform level increasingly receiving research attention. Among these approaches, transformation of the input mixture to a learned latent space, and multiplicative application of a soft mask to the latent mixture, a... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/EUSIPCO54536.2021.9616127 | 2021 29th European Signal Processing Conference (EUSIPCO) |
Keywords | DocType | ISSN |
Deep learning,Source separation,Noise reduction,Europe,Computer architecture,Interference,Speech enhancement | Conference | 2076-1465 |
ISBN | Citations | PageRank |
978-9-0827-9706-0 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christos Garoufis | 1 | 1 | 2.39 |
| Athanasia Zlatintsi | 2 | 8 | 2.57 |
| Petros Maragos | 3 | 3733 | 591.97 |