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Summary: Automatic estimation of the first subglottal
resonance
Harish Arsikerea)
Department of Electrical Engineering, University of California, Los Angeles, California 90095
harishan@ucla.edu
Steven M. Lulichb)
Department of Psychology, Washington University, Saint Louis, Missouri 63130
slulich@wustl.edu
Abeer Alwan
Department of Electrical Engineering, University of California, Los Angeles, California 90095
alwan@ee.ucla.edu
Abstract: This letter focuses on the automatic estimation of the first sub-
glottal resonance (Sg1). A database comprising speech and subglottal data
of native American English speakers and bilingual Spanish/English speak-
ers was used for the analysis. Data from 11 speakers (five males and six
females) were used to derive an empirical relation among the first formant
frequency, fundamental frequency, and Sg1. Using the derived relation,
Sg1 was automatically estimated from voiced sounds in English and Span-
ish sentences spoken by 22 different speakers (11 males and 11 females).
The error in estimating Sg1 was less than 50 Hz, on average.
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