Generating German intonation with a trainable prosodic model
- A trainable prosodic model called SFC (Superposition of Functional Contours), proposed by Holm and Bailly, is here confronted to German intonation. Training material is the publicly available Siemens Synthesis Corpus that provides spoken utterances for high-quality speech synthesis. We describe the labeling framework and first evaluation results that compares the original prosody of test sentences of this corpus with their prosodic rendering by the proposed model and state-of-the-art systems available on-line on the web.
Author: | Gérard Bailly, Jan GorischORCiDGND |
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URN: | urn:nbn:de:bsz:mh39-39258 |
Parent Title (English): | Proceedings of Interspeech 2006, Pittsburgh, PA, USA, September 17–21, 2006 |
Place of publication: | Pittsburgh, PA, USA |
Document Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2006 |
Date of Publication (online): | 2015/07/22 |
Tag: | Evaluation; German; Prosody; Speech synthesis |
GND Keyword: | Deutsch; Prosodie; Sprachsynthese |
Page Number: | 4 |
First Page: | 2366 |
Last Page: | 2369 |
DDC classes: | 400 Sprache / 430 Deutsch |
Open Access?: | ja |
Linguistics-Classification: | Pragmalinguistik / Kommunikationsforschung |
Licence (German): | Urheberrechtlich geschützt |