Please use this identifier to cite or link to this item: doi:10.22028/D291-25132
Title: MÜSLI : a classification scheme for laryngealizations
Author(s): Batliner, Anton
Burger, S.
Johne, B.
Kießling, Andreas
Language: English
Year of Publication: 1994
OPUS Source: Saarbrücken, 1994
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: We developed a classification scheme for laryngealizations that can be used to discriminate the many different shapes of laryngealizations with different feature values. Potential applications are phonetic transcription and automatic detection. The scheme was developed and tested with a database from 4 speakers that contains more than 1200 laryngealizations.
Link to this record: urn:nbn:de:bsz:291-scidok-40835
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 45
Date of registration: 11-Aug-2011
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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