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Automatic Speech Recognition Based on Neural Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

An Agonist-Antagonist Pitch Production Model

Authors : Branislav Gerazov, Philip N. Garner

Published in: Speech and Computer

Publisher: Springer International Publishing

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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 production are especially attractive for their inherent multilingual support. These models rely on an accurate model of muscle activation. Traditionally they have used the 2nd order spring-damper-mass (SDM) muscle 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 muscle 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 critically damped system models in intonation modelling.

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previous chapter A Preliminary Exploration of Group Social Engagement Level Recognition in Multiparty Casual Conversation
next chapter An Algorithm for Phase Manipulation in a Speech Signal
Footnotes
1
The WCAD implementation code is available on gitHub at https://​github.​com/​dipteam/​wcad.
 
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Metadata
Title
An Agonist-Antagonist Pitch Production Model
Authors
Branislav Gerazov
Philip N. Garner
Copyright Year
2016
Book
Speech and Computer

Print ISBN: 978-3-319-43957-0

Electronic ISBN: 978-3-319-43958-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-43958-7_9

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