Releases: sigsep/sigsep-mus-db
Releases · sigsep/sigsep-mus-db
Bugfix release: fixing sample rate conversion support
Switch to github release location for 7s previews
Downloading the preview dataset from zenodo was too slow, so we switched to gh releases
musdb v0.4.0
Bugfix release to update stempeg to version 0.1.7
This releases upgrades the stempeg
dependency to 0.1.7 to address a bug that could occur when using the chunking functionality in musdb.
musdb 0.3.0: a better fit for deep learning datasets
New musdb is released which addresses a few things related to when using musdb inside your deep learning framework.
New features
musdb.DB()
directly loads the list of tracks. No need to callload_musdb_tracks
.- iterating over the track is simplified since the
musdb.DB
object is iterable and supports indexing musdb.tools
now has a tool to convert a stems dataset to wav (or flac) automatically.- we now provide a predefined train/validation split to foster reproducible research.
- musdb now supports chunking of the audio (both via
stempeg
for stems andsoundfile
for wavs) to efficiently load only parts of the audio - A 7 seconds preview version of the musdb18 dataset is automatically downloaded and can be used on the fly. (this is fun for jupyter/colab!).
Incompatible changes
- support for python 2.7 was dropped
musdb.run
was removed since it was not used a lot and people used their own methods to do multiprocessing over different tracks.
Fixing test function and allow to np.float32 as output dtype
Improve `test()` function and fix bugs
Bugfixes
dsd100 -> musdb
- Change file format to support stems
- remove evaluation and parsing of ids to simplify the process for users