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 hdl:20.500.11880/25188 http://dx.doi.org/10.22028/D291-25132 |
| 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 |
Files for this record:
| File | Description | Size | Format | |
|---|---|---|---|---|
| report_45_94.pdf | 231,85 kB | Adobe PDF | View/Open |
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