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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/17020

Title: Simultaneous Estimation of Glottal Source Waveforms and Vocal Tract Shapes from Speech Signals Based on ARX-LF Model
Authors: Li, Yongwei
Sakakibara, Ken-Ichi
Akagi, Masato
Keywords: glottal source waveform
vocal tract shape
ARX-LF model
Issue Date: 2019-12-23
Publisher: Springer
Magazine name: Journal of Signal Processing Systems
Volume: 92
Start page: 831
End page: 838
DOI: 10.1007/s11265-019-01510-4
Abstract: Estimating glottal source waveforms and vocal tract shapes is typically done by processing the speech signal using an inverse filter and then fitting the residual signal using the glottal source model. However, due to source-tract interactions, the estimation accuracy is reduced. In this paper, we propose a method to estimate glottal source waveforms and vocal tract shapes simultaneously based on an analysis-by-synthesis approach with a source-filter model constructed of an Auto-Regressive eXogenous (ARX) model and the Liljencrants-Fant (LF) model. Since the optimization of multiple parameters makes simultaneous estimation difficult, we first initialize the glottal source parameters using the inverse filter method, and then simultaneously estimate the accurate parameters of the glottal sources and the vocal tract shapes using an analysis-by-synthesis approach. Experimental results with synthetic and real speech signals showed that the proposed method had higher estimation accuracy than using the inverse filter.
Rights: This is the author-created version of Springer, Yongwei Li, Ken-Ichi Sakakibara, and Masato Akagi, Journal of Signal Processing Systems, 92, 2019, 831-838. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/s11265-019-01510-4
URI: http://hdl.handle.net/10119/17020
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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