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LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation. (arXiv:2111.12516v2 [eess.AS] UPDATED)
Web: http://arxiv.org/abs/2111.12516
Jan. 27, 2022, 2:11 a.m. | Yeong-Seok Jeong, Jinsung Kim, Woosung Choi, Jaehwa Chung, Soonyoung Jung
cs.LG updates on arXiv.org arxiv.org
Conditioned source separations have attracted significant attention because
of their flexibility, applicability and extensionality. Their performance was
usually inferior to the existing approaches, such as the single source
separation model. However, a recently proposed method called LaSAFT-Net has
shown that conditioned models can show comparable performance against existing
single-source separation models. This paper presents LightSAFT-Net, a
lightweight version of LaSAFT-Net. As a baseline, it provided a sufficient SDR
performance for comparison during the Music Demixing Challenge at ISMIR 2021.
This …
More from arxiv.org / cs.LG updates on arXiv.org
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