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@faroit faroit released this 14 Feb 21:46
· 38 commits to master since this release
v1.1.0
f2b22c7
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New Features

  • added implementation of differentiable wiener filters, removing norbert redundancy
  • added more flexible encoder/decoder transform architecture
  • updated to codebase to pytorch 1.4.0, 1.5.0, 1.5.1, 1.6.0, 1.7.0
  • added a force_stereo augmentation to address heterogeneous datasets of mixed channels #41
  • added type hint annotations
  • restructured code as a python package #46 via #60
  • update to musdb 0.4.0 and museval 0.4.0
  • added test for onnx export
  • added stempeg based audio inference backend to improve reading and writing of compressed audio
  • switch from travis to github actions (thanks to @mpariente)
  • update docs

Bug Fixes

  • address issue with dataset statistic calculation #33
  • fixes glob(*) behaviour which is known to not be deterministic and can cause non-reproducible behavior
  • uses centered audio segments for sourcefolder dataset

Thanks

Thanks to @aliutkus, @Baldwin-disso, @keunwoochoi for the contributions.
Special thanks to @mpariente for the awesome asteroid code base.

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