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Automatic dialogue systems used, for instance, in call centers, should be able to determine in a critical phase of the dialogue--indicated by the customers vocal expression of anger/irritation--when it is better to pass over to a human operator. At a first glance, this does not seem to be a complicated task: It is reported in the literature that emotions can be told apart quite reliably on the basis...
In this paper, we show how prosodic information can be used in automatic dialogue systems and give some examples of promising new approaches. Most of these examples are taken from our own work in the Verbmobil speech-to-speech translation system and in the EVAR train timetable dialogue system. In a `prosodic orbit', we first present units, phenomena, annotations and statistical methods from the signal...
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