Please use this identifier to cite or link to this item: doi:10.22028/D291-25295
Title: Prosodic modules for speech recognition and understanding in VERBMOBIL
Author(s): Hess, Wolfgang
Batliner, Anton
Kießling, Andreas
Kompe, Ralf
Nöth, Elmar
Petzol, Anja
Reyelt, Matthias
Strom, Volker
Language: English
Year of Publication: 1996
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: Within VERBMOBIL, a large project on spoken language research in Germany, two modules for detecting and recognizing prosodic events have been developed. One module operates on speech signal parameters and the word hypothesis graph, whereas the other module, designed for a novel, highly interactive architecture, only uses speech signal parameters as its input. Phrase boundaries, sentence modality, and accents are detected. The recognition rates in spontaneous dialogs are for accents up to 82,5%, for phrase boundaries up to 91,7%.
Link to this record: urn:nbn:de:bsz:291-scidok-53397
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 148
Date of registration: 12-Jun-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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