Music Enhancement with Deep Filters: A Technical Report for The ICASSP
  2024 Cadenza Challenge
Keren Shao Ke Chen Shlomo Dubnov
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.