ESSV Konferenz Elektronische Sprachsignalverarbeitung

Title: Automatic differentiation of form-function-relations of the discourse particle "hm" in a naturalistic human-computer interaction

Authors: Alicia Flores Lotz, Ingo Siegert, Andreas Wendemuth


The development of speech-controlled assistance systems has gained more importance in this day and time. Application ranges from driver assistance systems in the automotive sector to daily use in mobile devices such as smartphones or tablets. To ensure the reliability of these Systems; not only the meaning of the pure spoken text, but also meta-information about the user or dialogue functions such as attention or turn-taking have to be perceived and processed. This further information is transmitted through intonation of words or sentences. In human communication, discourse particles serve to forward information, without interrupting the speaker. For the German language J.E. Schmidt [11] empirically discovered seven types of form-function-concurrences on the isolated DP “hm”. To also be considered in human-computer interaction, it is useful to be able to distinguish these different meanings of the DP “hm”. In this paper we present an automatic classification-method to correlate a specific intonation curve to one of the seven form-function-prototypes. To verify the results of the classification algorithm we utilize a manual labeling.

Year: 2015
In session: Dialoganalyse
Pages: 170 to 179