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A NEW VOICE SOURCE MODEL BASED ON HIGH-SPEED IMAGING AND ITS APPLICATION TO VOICE SOURCE ESTIMATION
 

Summary: A NEW VOICE SOURCE MODEL BASED ON HIGH-SPEED IMAGING AND ITS
APPLICATION TO VOICE SOURCE ESTIMATION
Yen-Liang Shue and Abeer Alwan
Department of Electrical Engineering, University of California Los Angeles
405 Hilgard Ave., Los Angeles, CA 90095
yshue@ee.ucla.edu, alwan@ee.ucla.edu
ABSTRACT
There are numerous models of varying complexities which seek to
efficiently represent the voice source signal. These models are typi-
cally based on data and observations which can come from air-flow
masks, electroglottographs, mechanical systems, and the inverse-
filtering of speech signals. The first part of this study examines ob-
servations from the high-speed imaging of the larynx and proposes a
new source model, which is shown to provide a better fit for the ob-
served data than existing models. The proposed source model is then
used in an automatic source estimation application, based on meth-
ods introduced in an earlier study [1]. Results, on average, show
that the proposed model provides a more accurate estimation of the
source signal compared with the Liljencrants-Fant model.
Index Terms-- source estimation, voice source, speech analysis

  

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles

 

Collections: Computer Technologies and Information Sciences