  The labelling of speech corpora is a laborious and time-consuming process.
The ProsoBeast Annotation Tool seeks to ease and accelerate this process by
providing an interactive 2D representation of the prosodic landscape of the
data, in which contours are distributed based on their similarity. This
interactive map allows the user to inspect and label the utterances. The tool
integrates several state-of-the-art methods for dimensionality reduction and
feature embedding, including variational autoencoders. The user can use these
to find a good representation for their data. In addition, as most of these
methods are stochastic, each can be used to generate an unlimited number of
different prosodic maps. The web app then allows the user to seamlessly switch
between these alternative representations in the annotation process.
Experiments with a sample prosodically rich dataset have shown that the tool
manages to find good representations of varied data and is helpful both for
annotation and label correction. The tool is released as free software for use
by the community.
