forked from pool/python-audiomate
Dirk Mueller
f7c784a27b
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-audiomate?expand=0&rev=15
84 lines
5.8 KiB
Plaintext
84 lines
5.8 KiB
Plaintext
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Sat May 27 21:29:38 UTC 2023 - Dirk Müller <dmueller@suse.com>
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- reenable python 3.11 build (numba available now)
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Tue Apr 4 10:01:54 UTC 2023 - Daniel Garcia <daniel.garcia@suse.com>
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- Skip python311, python-numba doesn't support python 3.11 yet.
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Fri May 28 02:48:24 UTC 2021 - Steve Kowalik <steven.kowalik@suse.com>
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- Do not build for Python 3.6, due to no NumPy.
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Tue Nov 10 14:21:44 UTC 2020 - Marketa Machova <mmachova@suse.com>
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- Update to 6.0.0
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* Drop support of Python 3.5 because a required dependency (llvmlite)
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does not support it anymore.
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* Setup consistent way for logging.
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Tue Jul 7 11:24:08 UTC 2020 - Marketa Calabkova <mcalabkova@suse.com>
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- Update to 5.0.2
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* Many new features and performance improvements, see upstream changelog
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Breaking:
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* Changed :class:`audiomate.corpus.validation.InvalidItemsResult'
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to use it not only for Utterances, but also for Tracks for example.
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* Refactoring and addition of splitting functions in the
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:class:`audiomate.corpus.subset.Splitter`.
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* For utterances and labels -1 was used for representing that the end
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is the same as the end of the parent utterance/track. In order to
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prevent -1 checks in different methods/places float('inf') is now used.
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This makes it easier to implement stuff like label overlapping.
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* :class:`audiomate.annotations.LabelList` is now backed by an interval-tree
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instead of a simple list. Therefore the labels have no fixed order anymore.
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The interval-tree provides functionality for operations like merging,
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splitting, finding overlaps with much lower code complexity.
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* Removed module :mod:`audiomate.annotations.label_cleaning`, since those
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methods are available on :class:`audiomate.annotations.LabelList` directly.
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Sat Dec 22 04:06:28 UTC 2018 - Todd R <toddrme2178@gmail.com>
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- Update to 3.0.0
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+ Breaking Changes
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* Moved label-encoding to its own module (audiomate.encoding). It now provides the processing of full corpora and store it in containers.
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* Moved audiomate.feeding.PartitioningFeatureIterator to the audiomate.feeding module.
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* Added audiomate.containers.AudioContainer to store audio tracks in a single file. All container classes are now in a separate module audiomate.containers.
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* Corpus now contains Tracks not Files anymore. This makes it possible to different kinds of audio sources. Audio from a file is now included using audiomate.tracks.FileTrack. New is the audiomate.tracks.ContainerTrack, which reads data stored in a container.
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* The audiomate.corpus.io.DefaultReader and the audiomate.corpus.io.DefaultWriter now load and store tracks, that are stored in a container.
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* All functionality regarding labels was moved to its own module audiomate.annotations.
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* The class audiomate.tracks.Utterance was moved to the tracks module.
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+ New Features
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* Introducing the audiomate.feeding module. It provides different tools for accessing container data. Via a audiomate.feeding.Dataset data can be accessed by indices. With a audiomate.feeding.DataIterator one can easily iterate over data, such as frames.
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* Added processing steps for computing Onset-Strength (audiomate.processing.pipeline.OnsetStrength)) and Tempogram (audiomate.processing.pipeline.Tempogram)).
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* Introduced audiomate.corpus.validation module, that is used to validate a corpus.
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* Added reader (audiomate.corpus.io.SWCReader) for the SWC corpus. But it only works for the prepared corpus.
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* Added function (audiomate.corpus.utils.label_cleaning.merge_consecutive_labels_with_same_values()) for merging consecutive labels with the same value
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* Added downloader (audiomate.corpus.io.GtzanDownloader) for the GTZAN Music/Speech.
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* Added audiomate.corpus.assets.Label.tokenized() to get a list of tokens from a label. It basically splits the value and trims whitespace.
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* Added methods on audiomate.corpus.CorpusView, audiomate.corpus.assets.Utterance and audiomate.corpus.assets.LabelList to get a set of occurring tokens.
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* Added audiomate.encoding.TokenOrdinalEncoder to encode labels of an utterance by mapping every token of the label to a number.
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* Create container base class (audiomate.corpus.assets.Container), that can be used to store arbitrary data per utterance. The audiomate.corpus.assets.FeatureContainer is now an extension of the container, that provides functionality especially for features.
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* Added functions to split utterances and label-lists into multiple parts. (audiomate.corpus.assets.Utterance.split(), audiomate.corpus.assets.LabelList.split())
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* Added audiomate.processing.pipeline.AddContext to add context to frames, using previous and subsequent frames.
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* Added reader (audiomate.corpus.io.MailabsReader) and downloader (audiomate.corpus.io.MailabsDownloader) for the M-AILABS Speech Dataset.
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+ Fixes
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* [#58] Keep track of number of samples per frame and between frames. Now the correct values will be stored in a Feature-Container, if the processor implements it correctly.
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* [#72] Fix bug, when reading samples from utterance, using a specific duration, while the utterance end is not defined.
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Tue Nov 6 12:38:30 UTC 2018 - Jan Engelhardt <jengelh@inai.de>
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- Join first and second sentence; trim conjecture.
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Fri Nov 2 02:34:34 UTC 2018 - Todd R <toddrme2178@gmail.com>
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- Initial version
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