Matthias Eichner

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In the framework of the German Verbmobil project we developed a procedure for the automatic, data driven generation of pronunciation dictionaries for speech recognition systems. In most recognizers only simple dictionaries containing the canonical pronunciation form are used. They represent the correct pronunciation, but in most cases the canonical(More)
Speech synthesis systems based on concatenation of segments derived from natural speech are very intelligible and achieve a high overall quality. Even though listeners often complain about wrong or missing temporal structure and timing in synthetic speech. We propose a new approach for duration control in speech synthesis that uses the probability of a word(More)
Pronunciation dictionaries are the interface between orthographic and phonetic representation of the speech signal and are thereby a substantial component of speech recognition systems. In many systems simple canonical pronunciation forms are used within the dictionary. They represent the “correct” pronunciation as they are found in lexicons and neither(More)
We investigate the deployment possibilities of speech enabled services in a Web based e-learning environment. The integration of speech technology is realized with a client/server architecture. Therefore, the services speech synthesis, speech recognition, and speaker verification are installed at a central SpeechServer. The client uses a Java applet(More)
State-of-the-art speech synthesis systems achieve a high overall quality. However, synthesized speech still lacks naturalness. To produce more natural and colloquial synthetic speech, our research focuses on integration of effects present in spontaneous speech. Conventional speech synthesis systems do not consider the probability of a word in its context.(More)
With the progress of speech synthesis towards the development of complete TTS systems, the databases of speech synthesizers obtain more and more similarity with databases of speech recognizers. This offers new possibilities in combining systems for speech synthesis and recognition. In a new project, we are developing a speech dialogue system with the(More)
In this paper we investigate measures for the evaluation of pronunciation dictionaries that can be used independently of the type of lexicon, the language, a specific recognizer and how the dictionary was generated. We will describe statistical measures, measures based on information theory and performance measures and give examples how these measures can(More)