- Update to 3.0.0
+ Breaking Changes
* Moved label-encoding to its own module (audiomate.encoding). It now provides the processing of full corpora and store it in containers.
* Moved audiomate.feeding.PartitioningFeatureIterator to the audiomate.feeding module.
* Added audiomate.containers.AudioContainer to store audio tracks in a single file. All container classes are now in a separate module audiomate.containers.
* 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.
* The audiomate.corpus.io.DefaultReader and the audiomate.corpus.io.DefaultWriter now load and store tracks, that are stored in a container.
* All functionality regarding labels was moved to its own module audiomate.annotations.
* The class audiomate.tracks.Utterance was moved to the tracks module.
+ New Features
* 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.
* Added processing steps for computing Onset-Strength (audiomate.processing.pipeline.OnsetStrength)) and Tempogram (audiomate.processing.pipeline.Tempogram)).
* Introduced audiomate.corpus.validation module, that is used to validate a corpus.
* Added reader (audiomate.corpus.io.SWCReader) for the SWC corpus. But it only works for the prepared corpus.
* Added function (audiomate.corpus.utils.label_cleaning.merge_consecutive_labels_with_same_values()) for merging consecutive labels with the same value
* Added downloader (audiomate.corpus.io.GtzanDownloader) for the GTZAN Music/Speech.
* Added audiomate.corpus.assets.Label.tokenized() to get a list of tokens from a label. It basically splits the value and trims whitespace.
* Added methods on audiomate.corpus.CorpusView, audiomate.corpus.assets.Utterance and audiomate.corpus.assets.LabelList to get a set of occurring tokens.
* Added audiomate.encoding.TokenOrdinalEncoder to encode labels of an utterance by mapping every token of the label to a number.
* 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.
* Added functions to split utterances and label-lists into multiple parts. (audiomate.corpus.assets.Utterance.split(), audiomate.corpus.assets.LabelList.split())
* Added audiomate.processing.pipeline.AddContext to add context to frames, using previous and subsequent frames.
* Added reader (audiomate.corpus.io.MailabsReader) and downloader (audiomate.corpus.io.MailabsDownloader) for the M-AILABS Speech Dataset.
+ Fixes
* [#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.
* [#72] Fix bug, when reading samples from utterance, using a specific duration, while the utterance end is not defined.