Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98209
Title: An adaptive neural control scheme for articulatory synthesis of CV sequences
Authors: Huang, Guangpu
Er, Meng Joo
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Source: Huang, G., & Er, M. J. (2014). An adaptive neural control scheme for articulatory synthesis of CV sequences. Computer speech & language, 28(1), 163-176.
Series/Report no.: Computer speech & language
Abstract: Reproducing the smooth vocal tract trajectories is critical for high quality articulatory speech synthesis. This paper presents an adaptive neural control scheme for such a task using fuzzy logic and neural networks. The control scheme estimates motor commands from trajectories of flesh-points on selected articulators. These motor commands are then used to reproduce the trajectories of the underlying articulators in a 2nd order dynamical system. Initial experiments show that the control scheme is able to manipulate the mass-spring based elastic tract walls in a 2-dimensional articulatory synthesizer and to realize efficient speech motor control. The proposed controller achieves high accuracy during on-line tracking of the lips, the tongue, and the jaw in the simulation of consonant–vowel sequences. It also offers salient features such as generality and adaptability for future developments of control models in articulatory synthesis.
URI: https://hdl.handle.net/10356/98209
http://hdl.handle.net/10220/17257
ISSN: 0885-2308
DOI: 10.1016/j.csl.2013.04.004
Rights: © 2013 Elsevier Ltd.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:TL Journal Articles

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