DocumentCode :
3631367
Title :
From acoustics to Vocal Tract time functions
Author :
Vikramjit Mitra;Yucel Ozbek;Hosung Nam;Xinhui Zhou;Carol Y. Espy-Wilson
Author_Institution :
Department of Electrical and Computer Engineering, University of Maryland, College Park, USA
fYear :
2009
Firstpage :
4497
Lastpage :
4500
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 :
"Acoustics","Speech recognition","Tongue","Automatic speech recognition","Speech synthesis","Stress","Natural languages","Databases","Noise measurement","Pollution measurement"
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
2379-190X
Type :
conf
DOI :
10.1109/ICASSP.2009.4960629
Filename :
4960629
Link To Document :
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