Changelog

0.5.0 - 2021-12-09

Official Open JOSS reviewed version.

Bugs

• Fix bug of name conflict while loading chord model.

Changelog

0.4.2 - 2021-11-16

Accumulated release. Various improvements and bug fix. See details below.

Feature

• Migrate checkpoints from private Google Drive to Github release.
  See here
• Replace opencv

Dependency

• Upgrade Tensorflow version to 2.5.0 for Nvidia 30 series GPU compatibility.
• Upgrade Spleeter version to 2.3.0 for new TF version compatibility.
• Replace Opencv with PIL for drum feature resizing and remove opencv from the dependency.

Enhancement

• Simplify model loading mechanism by unifying the all checkpoint format to use TF format.
• Lazy import extraction functions to boost loading time.
• Change the order of Dockerfile commands for better utilizing cache.

Documentation

• Add notice about compatibility issue of running on certain CPU architecture.
• Add explaination about enabling auto completion.
• Rephrase sentences in paper according to JOSS review feedback.
• Add explaination about installing development dependencies.
• Use pepy as the alternative source for 'download' state badge.

Bugs

• Fix bug of unable to find vocal contour checkpoint.
• Fix bug of fail to custom layers of chord module.
• Fix various unit tests bugs.
• Fix minor linter errors.

Migrate the place for storing the checkpoints from Google Drive to Github. Also upload ONNX models when available.

UPDATES

• 2022/11/27 - Upload the soundfont file.
• 2022/03/07 - Upload the pre-trained weight file of chord_v2.
• 2022/03/06 - Upload model architecture file (.pb) of chord_v2.
• 2022/03/04 - Upload the data file (resource.zip) for unit tests.

Changelog

0.4.1 - 2021-06-04

Hotfix version according to issue #23

Feature

• Add a new piano transcription model and set it as the default model while using music module.

Bugs

• Fix bug while parsing weight files in the checkpoint folder.

Changelog

0.4.0 - 2021-05-31

Various improvements on music module and some critical bug fixes.

Enhancement

• Improve the peak finding and thresholding strategy for more stable and better performance.
• Modify the feeding strategy of feature slices with adjustable overlapping rate while making predictions.
• Apply learning rate scheduler for music module.
• Replace the usage of custom training loop of music module with the built-in TF .fit() function.

Bugs

• Fix a critical bug of inference of music module that would lead to missing onsets.
• Fix generation of pertubation of vocal module while training.

Documentation

• Merge the demo page into master from build_doc branch.

Changelog

0.3.4 - 2021-05-10

Hotifx version according to issue #19.

Bugs

• Fix bug of treating numpy array as list while appending elements.

Changelog

0.3.3 - 2021-05-07

Hotfix version according to issue #19.

Bugs

• Fix column inconsistency of aggregate_f0_info and write_agg_f0_results.
• Update version of dependencies according to the security alert.

Changelog

0.3.2 - 2021-02-13

Enhancement

• Move load_label functions of different datasets into dataset structure classes.
• Add custom exception on fail downloading GD file due to access limit.
• Add unit tests on parsing label files into shared intermediate format.

Bugs

• Fix wrong access name of the dict in vocal midi inference function.
• Fix bug of generating beat module training labels.

Changelog

0.3.0 - 2021-01-17

Release the beat module for symbolic domain beat transcription.

Features

• Release beat module.
• Add an example patch-cnn module for demonstrating the implementation progress.

Enhancement

• Refactor the flow of chord module for parsing the feature and label files.
• Modularize F0 information aggragation functions to utils.py and io.py.
• Improve verbosity on fail to open hdf files.

Documentation

• Re-arrange the side bar with an additional group of CLI.
• Add custom CSS style for adjusting the width of audio and video elements.

Bugs

• Fix Spleeter import errors after upgrading to v2.1.2.

Changelog

0.2.0 - 2020-12-13

Vocal melody transcription in both frame- and note-level are live!

We release the modules for vocal melody transcription after a decent amount of effort.
Now you can transcribe your favorite singing voice.

Features

• Release vocal and vocal-contour submodules.

Enhancement

• Improve chord transcription results by filtering out chord predictions with short duration.
• Resolve the path for transcription output in a consistent way.

Documentation

• Re-organize Quick Start and Tutorial pages to improve accessibility.
• Move the section for development from README.md to CONTRIBUTING.md.

Bug Fix

• Fix bugs of passing the wrong parameter to vamp for chroma feature extraction.

Changelog

0.1.1 - 2020-12-01

Features

• Add more supported datasets for download and process.
• Supports to save checkpoints in .pb format with customized model checkpoint callback.

Enhancement

• Huge refactor of constants.dataset. Improves reusability and add more useful common utilities.
• Modularize common parts of app classes.
• Construct base class of loading dataset samples. Reduce duplicate code and reuse the same functionalities.
• Filter out messy Tensorflow warnings when using CLI.

Bug Fix

• Resolved bugs of some function parameters not actually being used inside functions.
• Fix CFP extraction down_fs don't actually work.

Changelog

0.1.0

Features

• Add command for synthesizing MIDI file.
• Provides colab for quick start now!

Enhancement

• Lazy import application instance for avoiding pulling large amount of dependencies.
• Group sub-commands into different sections when showing help message.

Changelog

0.1.0-beta.2

Enhancement

• Better dealing with the input model path.
• Better approach for resolving dataset path when given with "./".
• Add documentation for Conda user for manually install omnizart.

Bug Fix

• Fix wrong save path of checkpoints.
• Fix installation script for not upgrading pip after activating virtual environment.

Changelog

0.1.0-beta.0 - 2020-11-05

First release of omnizart CLI tool, as well as a python package.

Features

• Multi-instrument transcription
• Drum transcription
• Chord transcription
• Download datasets
• Extract feature of datasets for each module
• Train models for each module