Although the results seem quite satisfying, these systems require a relatively large amount of labelled data for training. As stated above, this is problematic because of the need for expensive annotation and lack of transferability to other domains. Thus, our goal in this paper differs from that in previous work. We do not aim to set a new state-of-the-art in direct speech detection, but instead: