Please use this identifier to cite or link to this item: doi:10.22028/D291-25122
Title: Detection of phrase boundaries and accents
Author(s): Kießling, Andreas
Kompe, Ralf
Niemann, Heinrich
Nöth, Elmar
Batliner, Anton
Language: English
Year of Publication: 1994
OPUS Source: Saarbrücken, 1994
SWD key words: Künstliche Intelligenz
Free key words: speech recognition
hidden Markov models
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: On a large speech database read by untrained speakers experiments for the recognition of phrase boundaries and phrase accents were performed. We used durational features as well as features derived from pitch and energy contours and pause information. Different sets of features were compared. For distinguishing three different boundary classes a recognition rate of 75.7% and for distinguishing accentuated from unaccentuated syllables a recognition rate of 88.7% could be achieved.
Link to this record: urn:nbn:de:bsz:291-scidok-40721
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 36
Date of registration: 2-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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