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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.

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Metadaten
Author:Gérard Bailly, Jan Gorisch
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
Pagenumber:4
First Page:2366
Last Page:2369
Dewey Decimal Classification:400 Sprache / 430 Deutsch
Linguistics-Classification:Pragmalinguistik / Kommunikationsforschung
Open Access?:Ja
Licence (German):Es gilt das UrhG