We show how prosody can be used in speech understanding systems. This is demonstrated with the VERBMOBIL speech to-speech translation system which, to our knowledge, is the first complete system which successfully uses prosodic information in the linguistic analysis. Prosody is used by computing probabilities for clause boundaries, accentuation, and different types, of sentence mood for each of the word hypotheses computed by the word recognizer. These probabilities guide the search of the linguistic analysis. Disambiguation is already achieved during the analysis and not by a prosodic verification of different linguistic hypotheses. So far, the most useful prosodic information is provided by clause boundaries. These are detected with a recognition rate of 94%. For the parsing of word hypotheses graphs, the use of clause boundary probabilities yields a speed-up of 92% and a 96% reduction of alternative readings.
['Elmar Nöth', 'Anton Batliner', 'A. Kiessling', 'Ralf Kompe', 'H. Niemann']
VERBMOBIL: the use of prosody in the linguistic components of a speech understanding system