Please use this identifier to cite or link to this item: doi:10.22028/D291-25315
Title: A continuous speech recognition system integrating additional acoustic knowledge sources in a data-driven beam search algorithm
Author(s): Plannerer, Bernd
Einsele, Tobias
Beham, Manfred
Ruske, Günther
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: The paper presents a continuous speech recognition system which integrates an additional acoustic knowledge source into the data-driven beam search algorithm. Details of the object oriented implementation of the beam search algorithm will be given. Integration of additional knowledge sources is treated within the flexible framework of Dempster-Shafer theory. As a first example, a rule-based plosive detector is added to the baseline system.
Link to this record: urn:nbn:de:bsz:291-scidok-53191
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 124
Date of registration: 13-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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