Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Least Mean Square Estimation of Articulation Parameter Dynamics
Tatsuya MORITAMasafumi MATSUMURA
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1991 Volume 4 Issue 10 Pages 413-420

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Abstract
The purpose of this study is to estimate dynamics of the articulatory organs (jaw and tongue) by voice analysis.
Relation between control signals to the articulatory organs and PARCOR coefficients is simulated by a transfer function model of second order systems. Then, parameters of the model (time constants and damping rations) and control signals (control timings and amplitudes) are estimated by applying least mean square method to the error between PARCOR coefficients and responses of the model for sequential vowel/aiue/.
Synthesized voice using the. estimeted model has the same characteristics as the original voices in voice analysis and hearing test. Also, the dynamics of the model estimated are almost equivalent to five male subjects, while the sequential patterns of the control signals show the personal differences of the subjects.
It could be concluded from the estimation that personality of utterance mainly depends on the control signal to the articulatory organs.
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