Wolfgang Wokurek

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It is difficult to recognize accented or non-native speech with speech recognition systems that are trained using native speech. While standard acoustic speaker adaptation techniques are often applied in these cases, they can only reduce the recognition errors that are due to mispronunciations on the phoneme level. They are not able to handle severe(More)
In this study Hidden Markov models are employed for the automatic classiication of pitch accents in German utterances. A sim-pliied version of the tone sequence model (i.e. a linguistic theory of pitch accents) is applied. In this approach only two of the nuclear tones (rise, fall) are used. They are represented by continuous density Hidden Markov models.(More)
Annotierte Sprachsignal-Korpora sind Projekt-und Anwendungsbezogen. Die hier beschriebenen Werkzeuge sollen die Weiterverwendung solcher aus verschiedenen Projekten stammender und Die Datensammlungen unterscheiden sich im linguistischen Kontext, in den technischen Einzel-scheiden sich in der Anzahl der Annotationsebenen den, d.h die verschiedenen Ebenen der(More)