Ernst Günter Schukat-Talamazzini

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This paper presents automatic methods for the segmentation and classi cation of dialog acts (DA). In Verbmobil it is often su cient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive DAs we conduct the classi cation of DAs in a two step procedure: First each turn has to be(More)
A method for the o -line recognition of cursive handwriting based on Hidden Markov Models (HMMs) is described. The features used in the HMMs are based on the arcs of skeleton graphs of the words to be recognized. An average correct recognition rate of over 98% on the word level has been achieved in experiments with cooperative writers using two dictionaries(More)
Prosodic boundary detection is important to disam-biguate parsing, especially in spontaneous speech, where elliptic sentences occur frequently. Word graphs are an eecient interface between word recognition and parser. Prosodic classiication of word chains has been published earlier. The adjustments necessary for applying these classiication techniques to(More)
Linear discriminant or Karhunen-Lo eve transforms are established techniques for mapping features into a lower dimensional subspace. This paper introduces a uniform statistical framework, where the computation of the optimal feature reduction is formalized as a Maximum-Likelihood estimation problem. The experimental evaluation of this suggested extension of(More)
MOTIVATION The identification of transcription factor binding sites in promoter sequences is an important problem, since it reveals information about the transcriptional regulation of genes. For analysing transcriptional regulation, computational approaches for predicting putative binding sites are applied. Commonly used stochastic models for binding sites(More)
This paper focuses on the evaluation of the German Sundial Demonstrator maintaining interactive conversations via microphone and telephone with users. The word recognizer was implemented by the University of Erlangen and currently obtains on our test set a word accuracy of over 92% in a speaker{independent task with perplexity 111. We also participated in(More)
This paper presents automatic methods for the classiication of dialog acts. In the verbmobil application (speech-to-speech translation of face-to-face dialogs) maximally 50 % of the utterances are analyzed in depth and for the rest, shallow processing takes place. The dialog component keeps track of the dialog with this shallow processing. For the(More)