Experimental evaluation of inverse filtering using physical systems with known glottal flow and tract characteristics

2013 ◽  
Vol 133 (5) ◽  
pp. EL358-EL362 ◽  
Author(s):  
Derek Tze Wei Chu ◽  
Kaiwen Li ◽  
Julien Epps ◽  
John Smith ◽  
Joe Wolfe
Keyword(s):  
Experimental Evaluation ◽  
Inverse Filtering ◽  
Physical Systems ◽  
Glottal Flow

scholarly journals Parameterization of a computational physical model for glottal flow using inverse filtering and high-speed videoendoscopy

2018 ◽  
Vol 96 ◽  
pp. 67-80 ◽  
Author(s):  
Tiina Murtola ◽  
Paavo Alku ◽  
Jarmo Malinen ◽  
Ahmed Geneid
Keyword(s):  
Physical Model ◽  
High Speed ◽  
Inverse Filtering ◽  
Glottal Flow

Estimation of amplitude features of the glottal flow by inverse filtering speech pressure signals

1998 ◽  
Vol 24 (2) ◽  
pp. 123-132 ◽  
Author(s):  
Paavo Alku ◽  
Erkki Vilkman ◽  
Anne-Maria Laukkanen
Keyword(s):  
Inverse Filtering ◽  
Glottal Flow

Parameterization of the Voice Source by Combining Spectral Decay and Amplitude Features of the Glottal Flow

1998 ◽  
Vol 41 (5) ◽  
pp. 990-1002 ◽  
Author(s):  
Paavo Alku ◽  
Erkki Vilkman ◽  
Anne-Maria Laukkanen
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Pressure Level ◽  
New Method ◽  
Inverse Filtering ◽  
Voice Production ◽  
Voice Source ◽  
Volume Velocity ◽  
Glottal Flow ◽  
The Voice

A new method is presented for the parameterization of glottal volume velocity waveforms that have been estimated by inverse filtering acoustic speech pressure signals. The new technique, Parameter for Spectral and Amplitude Features of the Glottal Flow (PSA), combines two features of voice production, the AC value and the spectral decay of the glottal flow, both of which contribute to changes in vocal loudness. PSA yields a single parameter that characterizes the glottal flow in different loudness conditions. By analyzing voices of 8 speakers it was shown that the new parameter correlates strongly with the sound pressure level of speech.

SIM—simultaneous inverse filtering and matching of a glottal flow model for acoustic speech signals

2001 ◽  
Vol 110 (1) ◽  
pp. 479-488 ◽  
Author(s):  
Matthias Fröhlich ◽  
Dirk Michaelis ◽  
Hans Werner Strube
Keyword(s):  
Flow Model ◽  
Speech Signals ◽  
Inverse Filtering ◽  
Glottal Flow

Verifying Digital Components of Physical Systems: Experimental Evaluation of Test Quality

2018 ◽  
Vol 60 (11) ◽  
pp. 2012-2018
Author(s):  
A. V. Laputenko ◽  
J. E. López ◽  
N. V. Yevtushenko
Keyword(s):  
Experimental Evaluation ◽  
Test Quality ◽  
Physical Systems ◽  
Digital Components
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