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.

翻译：本文介绍了VivesDebate-Speech，一个为利用音频特征进行论点挖掘任务而创建的口头论证语料库。该语料库的创建对语音处理与论点挖掘领域的交叉研究做出了重要贡献，并成为该主题下最完备的公开资源之一。此外，我们开展了一系列开创性实验，结果表明将音频特征整合到论点挖掘流程中能够提升性能。所提供的结果可作为未来研究的基准。