An agonist-antagonist pitch production model
Type of publication: | Conference paper |
Citation: | Gerazov_SPECOM_2016 |
Publication status: | Published |
Booktitle: | Lecture Notes in Artificial Intelligence: 18th International Conference, SPECOM 2016 |
Volume: | 9811 |
Year: | 2016 |
Month: | August |
Pages: | 84--91 |
Location: | Budapest, Hungary |
Abstract: | Prosody is a phenomenon that is crucial for numerous fields of speech research, accenting the importance of having a robust prosody model. A class of intonation models based on the physiology of pitch pro- duction are especially attractive for their inherent multilingual support. These models rely on an accurate model of muscle activation. Tradi- tionally they have used the 2nd order spring-damper-mass (SDM) mus- cle model. However, recent research has shown that the SDM model is not sufficient for adequate modelling of the muscle dynamics. The 3rd order Hill type model offers a more accurate representation of mus- cle dynamics, but it has been shown to be underdamped when using physiologically plausible muscle parameters. In this paper we propose an agonist-antagonist pitch production (A2P2) model that both validates and gives insight behind the improved results of using higher-order crit- ically damped system models in intonation modelling. |
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SCOPES-SP2 |
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Added by: | [UNK] |
Total mark: | 0 |
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