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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.08678 |
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| _version_ | 1866913198600355840 |
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| author | Yin, Han Wang, Mou Bai, Jisheng Shi, Dongyuan Gan, Woon-Seng Chen, Jianfeng |
| author_facet | Yin, Han Wang, Mou Bai, Jisheng Shi, Dongyuan Gan, Woon-Seng Chen, Jianfeng |
| contents | This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge. Experimental results show that the proposed system can achieve better performance than official baselines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_08678 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music Yin, Han Wang, Mou Bai, Jisheng Shi, Dongyuan Gan, Woon-Seng Chen, Jianfeng Audio and Speech Processing Sound This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge. Experimental results show that the proposed system can achieve better performance than official baselines. |
| title | Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2401.08678 |