Slovak dialogue corpus with backchannel annotation
Stanislav Ondáš, Eva Kiktová, Matúš Pleva · 2022
The proposed paper introduces the multimodal corpus of Slovak dyadic conversations, where backchannels from listener to speaker are labeled. The corpus consists of a series of podcasts, where two participants discuss various topics. In our research, we have focused on providing backchannels from a listener to the speaker during his/her turns. Backchannel signals play an important role in human-human spoken communication as well as in human-machine spoken dialog. They convey information about listener attention, acknowledgment, acceptance etc. The motivation for preparing the backchannel corpus in Slovak is to bring data, which can be used to train models, which will enable dialogue systems to produce backchannel signals to their human interlocutors.