Please use this identifier to cite or link to this item:
doi:10.22028/D291-25120
Title: | Phonetic and prosodic analysis of speech |
Author(s): | Niemann, Heinrich Nöth, E. Schukat-Talamazzini, E. G. Kießling, A. Kompe, R. Kuhn, T. Rieck, S. |
Language: | English |
Year of Publication: | 1994 |
OPUS Source: | Saarbrücken, 1994 |
SWD key words: | Künstliche Intelligenz |
Free key words: | speech recognition hidden Markov models prosody |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | In order to cope with the problems of spontaneous speech (including, for example, hesitations and non-words) it is necessary to extract from the speech signal all information it contains. Modeling of words by segmental units should be supported by suprasegmental units since valuable information is represented in the prosody of an utterance. We present an approach to flexible and efficient modeling of speech by segmental units and describe extraction and use of suprasegmental information. |
Link to this record: | urn:nbn:de:bsz:291-scidok-40705 hdl:20.500.11880/25176 http://dx.doi.org/10.22028/D291-25120 |
Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
Series volume: | 34 |
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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report_34_94.pdf | 304,2 kB | Adobe PDF | View/Open |
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