Andreas Kipp

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In this paper we present a h ybrid statistical and rule-based segmentation system which takes into account phonetic variation of German. Input to the system is the orthographic representation and the speech signal of an utterance to be segmented. The output is the transcription (SAM-PA) with the highest overall likelihood and the corresponding segmen-tation(More)
Our approach to the problem of evaluating segmentations and transcriptions of speech data is presented. We developed an automatic pattern-matching procedure that relates different manual or automatic segmentations to each other. The comparison of segmentations refers to the degree of identity concerning the chosen labels and of identity of segment(More)
In this paper 1 two dierent models of pronunciation are presented: the rst model is based on a rule set compiled by an expert, while the second is statistically based, exploiting a survey about pronunciation variants occurring in training data. Both models generate pronunciation variants from the canonic forms of words. The two models are evaluated by(More)
This paper presents results of a first study for a human-robot-interaction in which the robot Flobi autonomously plays the game 'pairs' against a human player. Integrated is a dialog system which can use different dynamic sentence structures for altering the verbal output during the interaction. The system is compared with a dialog system using static(More)
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