  In this paper, we describe VivesDebate-Speech, a corpus of spoken
argumentation created to leverage audio features for argument mining tasks. The
creation of this corpus represents an important contribution to the
intersection of speech processing and argument mining communities, and one of
the most complete publicly available resources in this topic. Moreover, we have
performed a set of first-of-their-kind experiments which show an improvement
when integrating audio features into the argument mining pipeline. The provided
results can be used as a baseline for future research.
