Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis

Windmann A, Jauk I, Tamburini F, Wagner P (2011)
In: Proceedings of Interspeech 2011. .

Download
OA
Conference Paper | Published | English
Abstract
This paper describes the development and evaluation of a prosody prediction module for unit selection speech synthesis that is based on the notion of perceptual prominence. We outline the design principles of the module and describe its implementation in the Bonn Open Synthesis System (BOSS). Moreover, we report results of perception experiments that have been conducted in order to evaluate prominence prediction. The paper is concluded by a general discussion of the approach and a sketch of perspectives for further work.
Publishing Year
Conference
Interspeech 2011
Location
Florence, Italy
PUB-ID

Cite this

Windmann A, Jauk I, Tamburini F, Wagner P. Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis. In: Proceedings of Interspeech 2011. 2011.
Windmann, A., Jauk, I., Tamburini, F., & Wagner, P. (2011). Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis. Proceedings of Interspeech 2011.
Windmann, A., Jauk, I., Tamburini, F., and Wagner, P. (2011). “Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis” in Proceedings of Interspeech 2011.
Windmann, A., et al., 2011. Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis. In Proceedings of Interspeech 2011.
A. Windmann, et al., “Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis”, Proceedings of Interspeech 2011, 2011.
Windmann, A., Jauk, I., Tamburini, F., Wagner, P.: Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis. Proceedings of Interspeech 2011. (2011).
Windmann, Andreas, Jauk, Igor, Tamburini, Fabio, and Wagner, Petra. “Prominence-Based Prosody Prediction for Unit Selection Speech Synthesis”. Proceedings of Interspeech 2011. 2011.
Main File(s)
Access Level
OA Open Access
Last Uploaded
2011-11-17 14:02:00

This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Search this title in

Google Scholar