Iterative Optimal Preemphasis for Improved Glottal-Flow Estimation by Iterative Adaptive Inverse Filtering

Glottal inverse filtering by combining a constrained LP and an HMM-based generative model of glottal flow derivative

Speech Communication ◽

10.1016/j.specom.2018.07.002 ◽

2018 ◽

Vol 104 ◽

pp. 113-128

Author(s):

Akira Sasou

Keyword(s):

Generative Model ◽

Inverse Filtering ◽

Glottal Flow

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Estimation of the glottal flow from speech pressure signals: Evaluation of three variants of iterative adaptive inverse filtering using computational physical modelling of voice production

Speech Communication ◽

10.1016/j.specom.2018.09.005 ◽

2018 ◽

Vol 104 ◽

pp. 24-38 ◽

Cited By ~ 2

Author(s):

Parham Mokhtari ◽

Brad Story ◽

Paavo Alku ◽

Hiroshi Ando

Keyword(s):

Physical Modelling ◽

Inverse Filtering ◽

Voice Production ◽

Glottal Flow

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

Speech Communication ◽

10.1016/j.specom.2017.11.007 ◽

2018 ◽

Vol 96 ◽

pp. 67-80 ◽

Cited By ~ 5

Author(s):

Tiina Murtola ◽

Paavo Alku ◽

Jarmo Malinen ◽

Ahmed Geneid

Keyword(s):

Physical Model ◽

High Speed ◽

Inverse Filtering ◽

Glottal Flow

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

Speech Communication ◽

10.1016/s0167-6393(98)00004-1 ◽

1998 ◽

Vol 24 (2) ◽

pp. 123-132 ◽

Cited By ~ 12

Author(s):

Paavo Alku ◽

Erkki Vilkman ◽

Anne-Maria Laukkanen

Keyword(s):

Inverse Filtering ◽

Glottal Flow

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

Journal of Speech Language and Hearing Research ◽

10.1044/jslhr.4105.990 ◽

1998 ◽

Vol 41 (5) ◽

pp. 990-1002 ◽

Cited By ~ 4

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.

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

The Journal of the Acoustical Society of America ◽

10.1121/1.1379076 ◽

2001 ◽

Vol 110 (1) ◽

pp. 479-488 ◽

Cited By ~ 29

Author(s):

Matthias Fröhlich ◽

Dirk Michaelis ◽

Hans Werner Strube

Keyword(s):

Flow Model ◽

Speech Signals ◽

Inverse Filtering ◽

Glottal Flow

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

The Journal of the Acoustical Society of America ◽

10.1121/1.4798619 ◽

2013 ◽

Vol 133 (5) ◽

pp. EL358-EL362 ◽

Cited By ~ 9

Author(s):

Derek Tze Wei Chu ◽

Kaiwen Li ◽

Julien Epps ◽

John Smith ◽

Joe Wolfe

Keyword(s):

Experimental Evaluation ◽

Inverse Filtering ◽

Physical Systems ◽

Glottal Flow

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Modelling Of Transport And Capture Of Particles In A Porous Medium

Promyshlennoe i Grazhdanskoe Stroitel stvo ◽

10.33622/0869-7019.2019.11.56-60 ◽

2019 ◽

pp. 56-60

Keyword(s):

Porous Medium ◽

Asymptotic Solution ◽

Retention Mechanism ◽

Inverse Filtering ◽

Underground Structures ◽

Loose Soil ◽

Monodisperse Suspension ◽

Homogeneous Porous Medium ◽

Model Equations ◽

Pass Through

The study of the transport and capture of particles moving in a fluid flow in a porous medium is an important problem of underground hydromechanics, which occurs when strengthening loose soil and creating watertight partitions for building tunnels and underground structures. A one-dimensional mathematical model of long-term deep filtration of a monodisperse suspension in a homogeneous porous medium with a dimensional particle retention mechanism is considered. It is assumed that the particles freely pass through large pores and get stuck at the inlet of small pores whose diameter is smaller than the particle size. The model takes into account the change in the permeability of the porous medium and the permissible flow through the pores with increasing concentration of retained particles. A new spatial variable obtained by a special coordinate transformation in model equations is small at any time at each point of the porous medium. A global asymptotic solution of the model equations is constructed by the method of series expansion in a small parameter. The asymptotics found is everywhere close to a numerical solution. Global asymptotic solution can be used to solve the inverse filtering problem and when planning laboratory experiments.

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