@InProceedings{Lotz2015_380,
<br/>   author = {Alicia Flores Lotz and Ingo Siegert and Andreas Wendemuth},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2015},
<br/>   title = {Automatic differentiation of form-function-relations of the discourse particle "hm" in a naturalistic human-computer interaction},
<br/>   year = {2015},
<br/>   editor = {Günther Wirsching},
<br/>   month = mar,
<br/>   pages = {170--179},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {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.},
<br/>   isbn = {978-3-959080-00-2},
<br/>   issn = {0940-6832},
<br/>   keywords = {Dialoganalyse},
<br/>   url = {https://www.essv.de/pdf/2015_170_179.pdf},
<br/>}