Please use this identifier to cite or link to this item:
doi:10.22028/D291-25183
Title: | Detection of accents, phrase boundaries, and sentence modality in German |
Author(s): | Strom, Volker |
Language: | English |
Year of Publication: | 1995 |
OPUS Source: | Saarbrücken, 1995 |
SWD key words: | Künstliche Intelligenz |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | In this paper detectors for accents, phrase boundaries, and sentence modality are described which derive prosodic features only from the speech signal and its fundamental frequency to support other modules of a speech understanding system in an early analysis stage, or in cases where no word hypotheses are available. A new method for interpolating and decomposing the fundamental frequency is suggested. The detectors' underlying Gaussian distribution classifiers were trained and tested with approximately 50 minutes of spontaneous speech, yielding recognition rates of 78 percent for accents, 80 percent for phrase boundaries, and 85 percent for sentence modality. |
Link to this record: | urn:nbn:de:bsz:291-scidok-41746 hdl:20.500.11880/25239 http://dx.doi.org/10.22028/D291-25183 |
Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
Series volume: | 96 |
Date of registration: | 5-Sep-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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report_96_95.pdf | 170,51 kB | Adobe PDF | View/Open |
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