Please use this identifier to cite or link to this item:
doi:10.22028/D291-25270
Title: | Prosody generation with a neural network |
Author(s): | Portele, Thomas Reuter, Andre Heuft, Barbara |
Language: | English |
Year of Publication: | 1996 |
SWD key words: | Künstliche Intelligenz |
Free key words: | artificial intelligence |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | The use of neural networks in speech synthesis has been especially successful in the domain of prosody generation. The approach presented here differs from others in a) the transformation from a simple input to an output vector consisting of different parameters and b) the use of subcorpora that allow specialized networks. The network operates in a prominence-based synthesis system, where prominence is the most important parameter and is, consequently, the input parameter for the network. The output is not yet evaluated formally but the synthetic speech sounds natural and lively. |
Link to this record: | urn:nbn:de:bsz:291-scidok-53658 hdl:20.500.11880/25326 http://dx.doi.org/10.22028/D291-25270 |
Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
Series volume: | 175 |
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 |
Files for this record:
File | Description | Size | Format | |
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report_175_96.pdf | 98,29 kB | Adobe PDF | View/Open |
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