TFSWA-ResUNet: music source separation with time–frequency sequence and shifted window attention-based ResUNet
Abstract CNN-based UNet is a widely employed network architecture for music source separation (MSS). Meanwhile, spectrogram features of music audio, which consist of both time and frequency information, are commonly used as inputs for MSS tasks. CNN-based UNet models in the spectrogram domain still...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SpringerOpen
2025-09-01
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| シリーズ: | EURASIP Journal on Advances in Signal Processing |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s13634-025-01249-0 |
| タグ: |
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