Changelog

Next Version

Breaking changes

• Refactoring of all elements, so that it is more obvious which aligner is used for which evaluator and confusion.

New Features

• Introduced False Rejection Rate, False Alarm Rate, Term-Weight Value for the Keyword Spotting task.
• Evaluator for the Automatic Speech Recognition Task evalmate.evaluator.ASREvaluator.

v0.2.0

New Features

• Introduced evalmate.evaluator.Outcome to have a common input structure for reference and hypothesis.
• With evalmate.evaluator.LabelSet more statistics on reference and hypothesis can be computed. Label-Sets are created via evalmate.evaluator.Outcome class.

v0.1.0

Initial release