From acoustics to vocal tract time functions

Vikramjit Mitra; I. Yücel Özbek; Hosung Nam; Xinhui Zhou; Carol Y. Espy-Wilson

doi:10.1109/ICASSP.2009.4960629

From acoustics to vocal tract time functions

Vikramjit Mitra, I. Yücel Özbek, Hosung Nam, Xinhui Zhou, Carol Y. Espy-Wilson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

In this paper we present a technique for obtaining Vocal Tract (VT) time functions from the acoustic speech signal. Knowledge-based Acoustic Parameters (APs) are extracted from the speech signal and a pertinent subset is used to obtain the mapping between them and the VT time functions. Eight different vocal tract constriction variables consisting of five constriction degree variables, lip aperture (LA), tongue body (TBCD), tongue tip (TTCD), velum (VEL), and glottis (GLO); and three constriction location variables, lip protrusion (LP), tongue tip (TTCL), tongue body (TBCL) were considered in this study. The TAsk Dynamics Application model (TADA [1]) is used to create a synthetic speech dataset along with its corresponding VT time functions. We explore Support Vector Regression (SVR) followed by Kalman smoothing to achieve mapping between the APs and the VT time functions.

Original language	English
Title of host publication	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages	4497-4500
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2009.4960629
Publication status	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China Duration: 2009 Apr 19 → 2009 Apr 24

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/Territory	Taiwan, Province of China
City	Taipei
Period	09/4/19 → 09/4/24

Keywords

Acoustic-to-articulatory inversion
Speech inversion
Support vector regression
Vocal tract time functions

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2009.4960629

Cite this

Mitra, V., Özbek, I. Y., Nam, H., Zhou, X., & Espy-Wilson, C. Y. (2009). From acoustics to vocal tract time functions. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009 (pp. 4497-4500). [4960629] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2009.4960629

From acoustics to vocal tract time functions. / Mitra, Vikramjit; Özbek, I. Yücel; Nam, Hosung et al.
2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009. 2009. p. 4497-4500 4960629 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mitra, V, Özbek, IY, Nam, H, Zhou, X & Espy-Wilson, CY 2009, From acoustics to vocal tract time functions. in 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009., 4960629, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4497-4500, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, Taipei, Taiwan, Province of China, 09/4/19. https://doi.org/10.1109/ICASSP.2009.4960629

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abstract = "In this paper we present a technique for obtaining Vocal Tract (VT) time functions from the acoustic speech signal. Knowledge-based Acoustic Parameters (APs) are extracted from the speech signal and a pertinent subset is used to obtain the mapping between them and the VT time functions. Eight different vocal tract constriction variables consisting of five constriction degree variables, lip aperture (LA), tongue body (TBCD), tongue tip (TTCD), velum (VEL), and glottis (GLO); and three constriction location variables, lip protrusion (LP), tongue tip (TTCL), tongue body (TBCL) were considered in this study. The TAsk Dynamics Application model (TADA [1]) is used to create a synthetic speech dataset along with its corresponding VT time functions. We explore Support Vector Regression (SVR) followed by Kalman smoothing to achieve mapping between the APs and the VT time functions.",

keywords = "Acoustic-to-articulatory inversion, Speech inversion, Support vector regression, Vocal tract time functions",

author = "Vikramjit Mitra and {\"O}zbek, {I. Y{\"u}cel} and Hosung Nam and Xinhui Zhou and Espy-Wilson, {Carol Y.}",

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AB - In this paper we present a technique for obtaining Vocal Tract (VT) time functions from the acoustic speech signal. Knowledge-based Acoustic Parameters (APs) are extracted from the speech signal and a pertinent subset is used to obtain the mapping between them and the VT time functions. Eight different vocal tract constriction variables consisting of five constriction degree variables, lip aperture (LA), tongue body (TBCD), tongue tip (TTCD), velum (VEL), and glottis (GLO); and three constriction location variables, lip protrusion (LP), tongue tip (TTCL), tongue body (TBCL) were considered in this study. The TAsk Dynamics Application model (TADA [1]) is used to create a synthetic speech dataset along with its corresponding VT time functions. We explore Support Vector Regression (SVR) followed by Kalman smoothing to achieve mapping between the APs and the VT time functions.

KW - Acoustic-to-articulatory inversion

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M3 - Conference contribution

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ER -

From acoustics to vocal tract time functions

Abstract

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Keywords

ASJC Scopus subject areas

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