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This paper presents automatic methods for the segmenta-tion and classication of dialog acts (DA). In Verbmobil it is often sucient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive D As we conduct the classication of DAs in a two step procedure: First each turn has to be(More)
Nowadays modern automatic dialogue systems are able to understand complex sentences instead of only a few commands like Stop or No. In a call-center, such a system should be able to determine in a critical phase of the dialogue if the call should be passed over to a human operator. Such a critical phase can be indicated by the customer's vocal expression.(More)
This paper presents an integrated approach for the segmentation and classiication of dialog acts DA in the Verbmobil project. In Verbmobil it is often suucient to recognize the sequence of DAs occurring during a dialog between the two partners. In our previous work 55 we segmented and classiied a dialog in two steps: rst we calculated hypotheses for the(More)
In the focus of this paper is a comparison of the most relevant prosodic features/feature classes for the classification of boundaries and accents in German and in English. Principal components were computed based on a large prosodic feature vector ; these principal components were used as predictor variables in a Linear Discriminant analysis as well as in(More)
For the classification of boundaries and accents in German and English spontaneous speech in the VERBMOBIL project (speech to speech translation system), we use a large prosodic feature vector; duration features represent the most important feature class. They are computed in three different ways: (1) The word duration is normalized with respect to the(More)
In this paper we present a new approach for estimating the interpolation parameters of language models (LM) which are used as classifiers. With the classical maximum likelihood (ML) estimation theoretically one needs to have a huge amount of data and the fundamental density assumption has to be correct. Usually one of these conditions is violated, so(More)
In our previous research, we have shown that prosody can be used to dramatically improve the performance of the automatic speech translation system VERBMOBIL [9]. The methods to classify prosodic events have been developed on the German sub-corpus of the VERBMOBIL speech database. In this paper we describe how the methods that we developed on the German(More)
In this paper we want to bridge the gap between pho-netic/phonological theory on the one hand and automatic speech processing on the other hand. As material, we use a subset of the German VERBMOBIL database that is annotated with prosodic boundary and accent information. We computed a large prosodic feature vector: 276 features for a context window of up to(More)
In our paper, we address the problem of estimating stochastic language models based on n-gram statistics. We present a novel approach, rational interpolation, for the combination of a competing set of conditional n-gram word probability predictors, which consistently outper-forms the traditional linear interpolation scheme. The superiority of rational(More)