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doi:10.22028/D291-25279 Files for this record:
| File | Description | Size | Format | |
|---|---|---|---|---|
| report_166_96.pdf | 136,27 kB | Adobe PDF | View/Open |
| Title: | Strategies for focal accent detection in spontaneous speech |
| Author(s): | Petzold, Anja |
| Language: | English |
| Year of Publication: | 1995 |
| SWD key words: | Künstliche Intelligenz |
| Free key words: | artificial intelligence |
| DDC notations: | 004 Computer science, internet |
| Publikation type: | Report |
| Abstract: | In this paper a new method for detection of focus is developed. Speech data consists of German spontaneous speech from several speakers. At present the algorithm uses only the fundamental frequency values. By computing a nonlinear reference line through significant anchor points in the F_{0} course, points of highest prominence are determined. The global recognition rate is 78,5% and the mean recognition rate is 66,6%. |
| Link to this record: | urn:nbn:de:bsz:291-scidok-53559 hdl:20.500.11880/25335 http://dx.doi.org/10.22028/D291-25279 |
| Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
| Series volume: | 166 |
| Date of registration: | 10-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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