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Author Gunther, J. ♦ Moon, T.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Dictionaries ♦ Speech ♦ Vectors ♦ Greedy algorithms ♦ Predictive models ♦ Speech coding ♦ Shape ♦ epoch detection ♦ Linear speech prediction ♦ sparse signal recovery
Abstract Whereas most approaches to linear speech prediction fail to account for the quasi-periodic glottal flow, this paper incorporates the Liljencrants-Fant model for glottal flow derivative (GFD) directly into the linear prediction problem. A linear model for the prediction error is obtained by constructing a dictionary of time-shifted GFD pulses. Minimizing the difference between the linear prediction residual and a sparse combination of the pulses in the dictionary leads to joint estimation of the linear predictor as well as a sparse representation for the prediction error that reveals the instants of vocal tract excitation (epochs). A greedy algorithm is proposed to approximately solve this joint estimation problem. The method is applied to voiced segments extracted from the CMU Arctic dataset which also includes electro-glottograms. Results show that the approach and the proposed algorithm are effective in estimating the parameters of interest.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA (Gunther, J.; Moon, T.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-08-11
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479916160
Size (in Bytes) 293.43 kB
Page Count 6
Starting Page 210
Ending Page 215


Source: IEEE Xplore Digital Library