Name
Title | ||
|---|---|---|
Singing Melody Extraction from Polyphonic Music based on Spectral Correlation Modeling |
Abstract | ||
|---|---|---|
Convolutional neural network (CNN) based methods have achieved state-of-the-art performance for singing melody extraction from polyphonic music. However, most of these methods focus on the learning of local features, while relationships among spectral components locating far apart are often neglected. In this paper, we explore the idea of modeling spectral correlation explicitly for melody extract... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICASSP39728.2021.9414190 | ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Keywords | DocType | ISBN |
Time-frequency analysis,Correlation,Neural networks,Estimation,Signal processing,Feature extraction,Encoding | Conference | 978-1-7281-7605-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingjian Du | 1 | 1 | 3.39 |
| Bilei Zhu | 2 | 0 | 2.03 |
| Qiuqiang Kong | 3 | 68 | 18.75 |
| Zejun Ma | 4 | 1 | 8.81 |