Simultaneous Estimation of Vocal Tract and Voice Source Parameters Based on an ARX Model

Wen DING; Hideki KASUYA; Shuichi ADACHI

Simultaneous Estimation of Vocal Tract and Voice Source Parameters Based on an ARX Model

Wen DING, Hideki KASUYA, Shuichi ADACHI

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A novel adaptive pitch-synchronous analysis method is proposed to estimate simultaneously vocal tract (formant/antiformant) and voice source parameters from speech waveforms. We use the parametric Rosenberg-Klatt (RK) model to generate a glottal waveform and an autoregressive-exogenous (ARX) model to represent voiced speech production process. The Kalman filter algorithm is used to estimate the formant/antiformant parameters from the coefficient of the ARX model, and the simulated annealing method is employed as a nonlinear optimization approach to estimate the voice source parameters. The two approaches work together in a system identification procedure to find the best set of the parameters of both the models. The new method has been compared using synthetic speech with some other approaches in terms of accuracy of estimated parameter values and has been proved to be superior. We also show that the proposed method can estimate accurately the parameters from natural speech sounds. A major application of the analysis method lies in a concatenative formant synthesizer which allows us to make flexible control of voice quality of synthetic speech.

Publication: IEICE TRANSACTIONS on Information Vol.E78-D No.6 pp.738-743

Publication Date: 1995/06/25

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Type of Manuscript: Special Section PAPER (Special Issue on Spoken Language Processing)

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Wen DING, Hideki KASUYA, Shuichi ADACHI, "Simultaneous Estimation of Vocal Tract and Voice Source Parameters Based on an ARX Model" in IEICE TRANSACTIONS on Information, vol. E78-D, no. 6, pp. 738-743, June 1995, doi: .
Abstract: A novel adaptive pitch-synchronous analysis method is proposed to estimate simultaneously vocal tract (formant/antiformant) and voice source parameters from speech waveforms. We use the parametric Rosenberg-Klatt (RK) model to generate a glottal waveform and an autoregressive-exogenous (ARX) model to represent voiced speech production process. The Kalman filter algorithm is used to estimate the formant/antiformant parameters from the coefficient of the ARX model, and the simulated annealing method is employed as a nonlinear optimization approach to estimate the voice source parameters. The two approaches work together in a system identification procedure to find the best set of the parameters of both the models. The new method has been compared using synthetic speech with some other approaches in terms of accuracy of estimated parameter values and has been proved to be superior. We also show that the proposed method can estimate accurately the parameters from natural speech sounds. A major application of the analysis method lies in a concatenative formant synthesizer which allows us to make flexible control of voice quality of synthetic speech.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e78-d_6_738/_p

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@ARTICLE{e78-d_6_738,
author={Wen DING, Hideki KASUYA, Shuichi ADACHI, },
journal={IEICE TRANSACTIONS on Information},
title={Simultaneous Estimation of Vocal Tract and Voice Source Parameters Based on an ARX Model},
year={1995},
volume={E78-D},
number={6},
pages={738-743},
abstract={A novel adaptive pitch-synchronous analysis method is proposed to estimate simultaneously vocal tract (formant/antiformant) and voice source parameters from speech waveforms. We use the parametric Rosenberg-Klatt (RK) model to generate a glottal waveform and an autoregressive-exogenous (ARX) model to represent voiced speech production process. The Kalman filter algorithm is used to estimate the formant/antiformant parameters from the coefficient of the ARX model, and the simulated annealing method is employed as a nonlinear optimization approach to estimate the voice source parameters. The two approaches work together in a system identification procedure to find the best set of the parameters of both the models. The new method has been compared using synthetic speech with some other approaches in terms of accuracy of estimated parameter values and has been proved to be superior. We also show that the proposed method can estimate accurately the parameters from natural speech sounds. A major application of the analysis method lies in a concatenative formant synthesizer which allows us to make flexible control of voice quality of synthetic speech.},
keywords={},
doi={},
ISSN={},
month={June},}

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TY - JOUR
TI - Simultaneous Estimation of Vocal Tract and Voice Source Parameters Based on an ARX Model
T2 - IEICE TRANSACTIONS on Information
SP - 738
EP - 743
AU - Wen DING
AU - Hideki KASUYA
AU - Shuichi ADACHI
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E78-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 1995
AB - A novel adaptive pitch-synchronous analysis method is proposed to estimate simultaneously vocal tract (formant/antiformant) and voice source parameters from speech waveforms. We use the parametric Rosenberg-Klatt (RK) model to generate a glottal waveform and an autoregressive-exogenous (ARX) model to represent voiced speech production process. The Kalman filter algorithm is used to estimate the formant/antiformant parameters from the coefficient of the ARX model, and the simulated annealing method is employed as a nonlinear optimization approach to estimate the voice source parameters. The two approaches work together in a system identification procedure to find the best set of the parameters of both the models. The new method has been compared using synthetic speech with some other approaches in terms of accuracy of estimated parameter values and has been proved to be superior. We also show that the proposed method can estimate accurately the parameters from natural speech sounds. A major application of the analysis method lies in a concatenative formant synthesizer which allows us to make flexible control of voice quality of synthetic speech.
ER -