THE AUDITORY MODELING TOOLBOX

Applies to version: 1.3.0

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EXP_OSSES2022 - comparison of eight monaural models

Usage

data = exp_osses2022(flags)
data = exp_osses2022(..., 'models', models)

Description

exp_osses2022 reproduces the figures from Osses et al. (2022), where the following models are compared:

'dau1997' : Model #1 from Dau et al., (1997)
'zilany2014' : Model #2 from Zilany et al., (2014)
'verhulst2015' : Model #3 from Verhulst et al., (2015)
'verhulst2018' : Model #4 from Verhulst et al., (2018)
'bruce2018' : Model #5 from Bruce et al., (2018)
'king2019' : Model #6 from King et al., (2019)
'relanoiborra2019' : Model #7 from Relano-Iborra et al., (2019)
'osses2021' : Model #8 from Osses and Kohlrausch (2021)

The following flags can be specified;

'redo' Recomputes data for specified figure
'plot' Plot the output of the experiment. This is the default.
'no_plot' Doesn't plot, only return data.
'models' Vector selecting the models, if not all models to process. For example 'models',[1 3 6] shows the data for Dau et al., (1997), Verhulst et al., (2015), and King et al., (2019) only.

To display Fig. 3 of Osses et al., (2022) use

out = exp_osses2022('fig3');
exp_osses2022_1_1.png

To display Fig. 4 of Osses et al., (2022) use

out = exp_osses2022('fig4');
exp_osses2022_2_1.png

To display Fig. 5 of Osses et al., (2022) use

out = exp_osses2022('fig5');
exp_osses2022_3_1.png exp_osses2022_3_2.png exp_osses2022_3_3.png exp_osses2022_3_4.png exp_osses2022_3_5.png exp_osses2022_3_6.png

To display Fig. 6 of Osses et al., (2022) use

out = exp_osses2022('fig6');

This code produces the following output:

Using Q03
Using Q03
Using Q03
exp_osses2022_4_1.png exp_osses2022_4_2.png exp_osses2022_4_3.png exp_osses2022_4_4.png

To display Figs. 7 of Osses et al., (2022) use

out = exp_osses2022('fig7'); % this flag will obtain both figures, 6 and 7
exp_osses2022_5_1.png exp_osses2022_5_2.png

To display Figs. 8 of Osses et al., (2022) use

out = exp_osses2022('fig8'); % this flag will obtain both figures, 6 and 7
exp_osses2022_6_1.png exp_osses2022_6_2.png

To display Fig. 9 of Osses et al., (2022) use

out = exp_osses2022('fig9');
exp_osses2022_7_1.png exp_osses2022_7_2.png exp_osses2022_7_3.png exp_osses2022_7_4.png exp_osses2022_7_5.png

To display Fig. 10 of Osses et al., (2022) use

out = exp_osses2022('fig10');
exp_osses2022_8_1.png exp_osses2022_8_2.png exp_osses2022_8_3.png exp_osses2022_8_4.png exp_osses2022_8_5.png exp_osses2022_8_6.png exp_osses2022_8_7.png exp_osses2022_8_8.png

To display Fig. 11 of Osses et al., (2022) use

out = exp_osses2022('fig11');
exp_osses2022_9_1.png exp_osses2022_9_2.png exp_osses2022_9_3.png exp_osses2022_9_4.png exp_osses2022_9_5.png exp_osses2022_9_6.png exp_osses2022_9_7.png exp_osses2022_9_8.png

To display Fig. 12a or 12b of Osses et al., (2022) use

out = exp_osses2022('fig12a');
out = exp_osses2022('fig12b');
exp_osses2022_10_1.png exp_osses2022_10_2.png exp_osses2022_10_3.png exp_osses2022_10_4.png exp_osses2022_10_5.png exp_osses2022_10_6.png exp_osses2022_10_7.png exp_osses2022_10_8.png exp_osses2022_10_9.png exp_osses2022_10_10.png

To display Fig. 13 of Osses et al., (2022) use

out = exp_osses2022('fig13');
exp_osses2022_11_1.png exp_osses2022_11_2.png exp_osses2022_11_3.png exp_osses2022_11_4.png exp_osses2022_11_5.png exp_osses2022_11_6.png exp_osses2022_11_7.png exp_osses2022_11_8.png

To display Fig. 14a or 14b of Osses et al., (2022) use

out = exp_osses2022('fig14a');
out = exp_osses2022('fig14b');
exp_osses2022_12_1.png exp_osses2022_12_2.png

To display Fig. 15 of Osses et al., (2022) use

out = exp_osses2022('fig15');

This code produces the following output:

Using Wave-V estimate only...
Using Wave-V estimate only...
Using Wave-V estimate only...
Using Wave-V estimate only...
Using Wave-V estimate only...
Using Wave-V estimate only...
Using Wave-V estimate only...
Using Wave-V estimate only...
exp_osses2022_13_1.png exp_osses2022_13_2.png exp_osses2022_13_3.png exp_osses2022_13_4.png exp_osses2022_13_5.png exp_osses2022_13_6.png exp_osses2022_13_7.png exp_osses2022_13_8.png

References:

H. Relaño-Iborra, J. Zaar, and T. Dau. A speech-based computational auditory signal processing and perception model. J. Acoust. Soc. Am., 146(5), 2019.

A. Osses Vecchi and A. Kohlrausch. Perceptual similarity between piano notes: Simulations with a template-based perception model. J. Acoust. Soc. Am., 141(4), 2020.

A. King, L. Varnet, and C. Lorenzi. Accounting for masking of frequency modulation by amplitude modulation with the modulation filter-bank concept. J. Acoust. Soc. Am., 145(2277), 2019.

I. C. Bruce, Y. Erfani, and M. S. R. Zilany. A phenomenological model of the synapse between the inner hair cell and auditory nerve: Implications of limited neurotransmitter release sites. Hearing Research, 360:40--54, 2018. [ http ]

T. Dau, B. Kollmeier, and A. Kohlrausch. Modeling auditory processing of amplitude modulation. I. Detection and masking with narrow-band carriers. J. Acoust. Soc. Am., 102:2892--2905, 1997a.

M. S. A. Zilany, I. C. Bruce, and L. H. Carney. Updated parameters and expanded simulation options for a model of the auditory periphery. The Journal of the Acoustical Society of America, 135(1):283--286, Jan. 2014. [ DOI ]

S. Verhulst, H. Bharadwaj, G. Mehraei, C. Shera, and B. Shinn-Cunningham. Functional modeling of the human auditory brainstem response to broadband stimulation. jasa, 138(3):1637--1659, 2015.

S. Verhulst, A. Altoè, and V. Vasilkov. Functional modeling of the human auditory brainstem response to broadband stimulation. hearingresearch, 360:55--75, 2018.

A. Osses, S. Verhulst, L. Varnet, T. Dau, L. H. Carney, I. C. Bruce, and P. Majdak. A comparative study of eight human auditory models including brainstem processing. Acta Acustica, 2022.

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