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Computer Science > Sound

arXiv:2404.11116 (cs)
[Submitted on 17 Apr 2024]

Title:Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge

Authors:Keren Shao, Ke Chen, Shlomo Dubnov
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Abstract:In this challenge, we disentangle the deep filters from the original DeepfilterNet and incorporate them into our Spec-UNet-based network to further improve a hybrid Demucs (hdemucs) based remixing pipeline. The motivation behind the use of the deep filter component lies at its potential in better handling temporal fine structures. We demonstrate an incremental improvement in both the Signal-to-Distortion Ratio (SDR) and the Hearing Aid Audio Quality Index (HAAQI) metrics when comparing the performance of hdemucs against different versions of our model.
Comments: 2 pages, 2 figures, 1 tables, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Subjects: Sound (cs.SD); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multimedia (cs.MM); Audio and Speech Processing (eess.AS)
Cite as: arXiv:2404.11116 [cs.SD]
  (or arXiv:2404.11116v1 [cs.SD] for this version)
  https://doi.org/10.48550/arXiv.2404.11116

Submission history

From: Keren Shao [view email]
[v1] Wed, 17 Apr 2024 07:01:29 UTC (283 KB)
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