THE AUDITORY MODELING TOOLBOX
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EXP_BAUMGARTNER2020 - - Simulations of Baumgartner and Majdak (2020)
Usage
data = exp_baumgartner2020(flag)
exp_baumgartner2020(flag) reproduces figures of the study from Baumgartner and Majdak (2020).
The following flags can be specified
- fig2 shows cue-specific predictions, sensitivities, prediction errors,
- and optimal relative weights in order to best explain the actual externalization ratings. Oracle: prediction errors obtained with the oracle model.
- fig3 displays the prediction errors for all decision strategies,
- optimal cue weights and results for paired combinations.
- hartmann1996 models experiments from Hartmann & Wittenberg (1996; Fig.7-8)
- 1st panel: Synthesis of zero-ILD signals. Only the harmonics from 1 to nprime had zero interaural level difference; harmonics above nprime retained the amplitudes of the baseline synthesis. Externalization scores as a function of the boundary harmonic number nprime. Fundamental frequency of 125 Hz. 2nd panel: Synthesis of signals to test the ISLD hypothesis. Harmonics at and below the boundary retained only the interaural spectral level differences of the baseline synthesis. Higher harmonics retained left and right baseline harmonic levels. Externalization scores as a function of the boundary frequency.
- hassager2016 models experiments from Hassager et al. (2016; Fig.6).
- The mean of the seven listeners perceived sound source location (black) as a function of the bandwidth factor and the corresponding model predictions (colored). The model predictions have been shifted slightly to the right for a better visual interpretation. The error bars are one standard error of the mean.
- baumgartner2017 models experiments from Baumgartner et al. (2017).
- Effect of HRTF spectral contrast manipulations on sound externalization. Externalization scores were derived from paired comparisons via Bradley-Terry-Luce modeling.
- boyd2012 models experiments from Boyd et al. (2012; Fig.1, top).
- Average externalization ratings of 1 talker for NH participants against mix point as a function of microphone position (ITE/BTE) and frequency response (BB/LP). The reference condition (ref) is the same as ITE/BB. Error bars show SEM.
Requirements:
- SOFA API v0.4.3 or higher from http://sourceforge.net/projects/sofacoustics for Matlab (in e.g. thirdparty/SOFA)
- Data in hrtf/baumgartner2017
- Statistics Toolbox for Matlab (for some of the figures)
Examples:
To display indivdual predictions for all experiments use
exp_baumgartner2020('fig2');
This code produces the following output:
MSS ISS MSSD ISSD ITIT IC MI Oracle
_________ __________ ________ _________ __________ _________ __________ __________
Exp1_S_cue 0.073828 0.88369 0.021484 0.62119 0.79141 0.0083008 0.0035156 NaN
Exp1_Error 0.081818 0.011274 0.042295 0.052943 0.0035124 0.0047487 0.012107 0.0036647
Exp1_Weight 0 0 0.012803 0 0.59117 0.32259 0.073434 NaN
Exp2_S_cue 0.12051 0.00019531 0.019629 0.0069336 0.00078125 0.0012695 4.8828e-05 NaN
Exp2_Error 0.0019367 0.063476 0.010901 0.017217 0.0035481 0.0049122 0.046273 0.00029003
Exp2_Weight 0.019309 0 0.34659 0.032649 0.4388 0.16266 0 NaN
Exp3_S_cue 0.2293 0.33135 0.12402 0.15986 0.12969 0.035156 0.00026855 NaN
Exp3_Error 0.0053458 0.0047244 0.088551 0.025814 0.044811 0.13813 0.1971 0.0045675
Exp3_Weight 0.61553 0.0387 0 0.14921 0.19656 0 0 NaN
Exp4_S_cue 0.087988 0.4207 0.39395 0.50117 0.023828 0.018164 0.10439 NaN
Exp4_Error 0.036517 0.081148 0.036857 0.051565 0.13689 0.062149 0.12652 0.023824
Exp4_Weight 0.50583 0 0.19539 0 0 0.29878 0 NaN
Exp5_S_cue 0.18057 0.44687 0.054395 0.24404 0.54668 0.36709 0.13701 NaN
Exp5_Error 0.042443 0.028343 0.10339 0.032469 0.040747 0.050289 0.082399 0.014622
Exp5_Weight 0.24616 0.29003 0 0 0 0.31167 0.15214 NaN
W. Avg. S_cue 0.13308 0.41274 0.049147 0.13803 0.39968 0.006618 0.0067398 NaN
Mean Error 0.033612 0.037793 0.056398 0.036002 0.045902 0.052045 0.09288 0.0093937
Mean Weight 0.27737 0.065746 0.11096 0.036372 0.2453 0.21914 0.045114 NaN
MSS ISS MSSD ISSD ITIT IC MI Error_Oracle Error_WSM Error_LTA Error_MTA Error_WTA BIC_Oracle BIC_WSM BIC_LTA BIC_MTA BIC_WTA
_______ _______ ________ ________ ________ _______ ________ ____________ _________ _________ _________ _________ __________ _______ _______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 0.36572 0.25879 0.099619 0.011616 0.063761 0.1425 0.057989 0.01712 0.038925 0.027566 0.026456 0.13467 -21.708 -10.492 -28.706 -27.59 -8.8958
MSS, ISS, MSSD, ISSD, ITIT, IC 0.43434 0.19318 0.079137 0.014125 0.059996 0.21922 NaN 0.012969 0.036479 0.014575 0.022774 0.098714 -26.677 -12.43 -37.278 -30.812 -14.523
MSS, ISS, ISSD, ITIT, IC 0.43193 0.26696 NaN 0.056932 0.034205 0.20997 NaN 0.015214 0.037527 0.022401 0.017423 0.1208 -30.311 -17.783 -40.846 -40.236 -15.683
MSS, ISS, ISSD, ITIT 0.5488 0.26686 NaN 0.063321 0.12102 NaN NaN 0.016162 0.033983 0.024578 0.01713 0.10514 -34.762 -28.998 -50.46 -42.271 -23.144
MSS, ISSD, ITIT 0.67657 NaN NaN 0.04938 0.27405 NaN NaN 0.017924 0.03419 0.015429 0.019374 0.056798 -35.67 -32.034 -41.438 -42.666 -26.895
MSS, ITIT 0.7248 NaN NaN NaN 0.2752 NaN NaN 0.020831 0.035228 0.013657 0.019573 0.049773 -39.507 -35.934 -48.509 -43.4 -31.274
MSS 1 NaN NaN NaN NaN NaN NaN 0.042851 0.042851 0.033612 0.033612 0.033612 -33.543 -33.543 -43.107 -43.107 -43.107
MSS ISS MSSD ISSD ITIT IC MI Oracle
_________ __________ ________ _________ __________ _________ __________ __________
Exp1_S_cue 0.073828 0.88369 0.021484 0.62119 0.79141 0.0083008 0.0035156 NaN
Exp1_Error 0.081818 0.011274 0.042295 0.052943 0.0035124 0.0047487 0.012107 0.0036647
Exp1_Weight 0 0 0.012803 0 0.59117 0.32259 0.073434 NaN
Exp2_S_cue 0.12051 0.00019531 0.019629 0.0069336 0.00078125 0.0012695 4.8828e-05 NaN
Exp2_Error 0.0019367 0.063476 0.010901 0.017217 0.0035481 0.0049122 0.046273 0.00029003
Exp2_Weight 0.019309 0 0.34659 0.032649 0.4388 0.16266 0 NaN
Exp3_S_cue 0.2293 0.33135 0.12402 0.15986 0.12969 0.035156 0.00026855 NaN
Exp3_Error 0.0053458 0.0047244 0.088551 0.025814 0.044811 0.13813 0.1971 0.0045675
Exp3_Weight 0.61553 0.0387 0 0.14921 0.19656 0 0 NaN
Exp4_S_cue 0.087988 0.4207 0.39395 0.50117 0.023828 0.018164 0.10439 NaN
Exp4_Error 0.036517 0.081148 0.036857 0.051565 0.13689 0.062149 0.12652 0.023824
Exp4_Weight 0.50583 0 0.19539 0 0 0.29878 0 NaN
Exp5_S_cue 0.18057 0.44687 0.054395 0.24404 0.54668 0.36709 0.13701 NaN
Exp5_Error 0.042443 0.028343 0.10339 0.032469 0.040747 0.050289 0.082399 0.014622
Exp5_Weight 0.24616 0.29003 0 0 0 0.31167 0.15214 NaN
W. Avg. S_cue 0.13308 0.41274 0.049147 0.13803 0.39968 0.006618 0.0067398 NaN
Mean Error 0.033612 0.037793 0.056398 0.036002 0.045902 0.052045 0.09288 0.0093937
Mean Weight 0.27737 0.065746 0.11096 0.036372 0.2453 0.21914 0.045114 NaN
MSS ISS MSSD ISSD ITIT IC MI Error_Oracle Error_WSM Error_LTA Error_MTA Error_WTA BIC_Oracle BIC_WSM BIC_LTA BIC_MTA BIC_WTA
_______ _______ ________ ________ ________ _______ ________ ____________ _________ _________ _________ _________ __________ _______ _______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 0.36572 0.25879 0.099619 0.011616 0.063761 0.1425 0.057989 0.01712 0.038925 0.027566 0.026456 0.13467 -21.708 -10.492 -28.706 -27.59 -8.8958
MSS, ISS, MSSD, ISSD, ITIT, IC 0.43434 0.19318 0.079137 0.014125 0.059996 0.21922 NaN 0.012969 0.036479 0.014575 0.022774 0.098714 -26.677 -12.43 -37.278 -30.812 -14.523
MSS, ISS, ISSD, ITIT, IC 0.43193 0.26696 NaN 0.056932 0.034205 0.20997 NaN 0.015214 0.037527 0.022401 0.017423 0.1208 -30.311 -17.783 -40.846 -40.236 -15.683
MSS, ISS, ISSD, ITIT 0.5488 0.26686 NaN 0.063321 0.12102 NaN NaN 0.016162 0.033983 0.024578 0.01713 0.10514 -34.762 -28.998 -50.46 -42.271 -23.144
MSS, ISSD, ITIT 0.67657 NaN NaN 0.04938 0.27405 NaN NaN 0.017924 0.03419 0.015429 0.019374 0.056798 -35.67 -32.034 -41.438 -42.666 -26.895
MSS, ITIT 0.7248 NaN NaN NaN 0.2752 NaN NaN 0.020831 0.035228 0.013657 0.019573 0.049773 -39.507 -35.934 -48.509 -43.4 -31.274
MSS 1 NaN NaN NaN NaN NaN NaN 0.042851 0.042851 0.033612 0.033612 0.033612 -33.543 -33.543 -43.107 -43.107 -43.107
hassager2016
MSS ISS MSSD ISSD ITIT IC MI Oracle
_________ __________ ________ _________ __________ _________ __________ __________
Exp1_S_cue 0.073828 0.88369 0.021484 0.62119 0.79141 0.0083008 0.0035156 NaN
Exp1_Error 0.081818 0.011274 0.042295 0.052943 0.0035124 0.0047487 0.012107 0.0036647
Exp1_Weight 0 0 0.012803 0 0.59117 0.32259 0.073434 NaN
Exp2_S_cue 0.12051 0.00019531 0.019629 0.0069336 0.00078125 0.0012695 4.8828e-05 NaN
Exp2_Error 0.0019367 0.063476 0.010901 0.017217 0.0035481 0.0049122 0.046273 0.00029003
Exp2_Weight 0.019309 0 0.34659 0.032649 0.4388 0.16266 0 NaN
Exp3_S_cue 0.2293 0.33135 0.12402 0.15986 0.12969 0.035156 0.00026855 NaN
Exp3_Error 0.0053458 0.0047244 0.088551 0.025814 0.044811 0.13813 0.1971 0.0045675
Exp3_Weight 0.61553 0.0387 0 0.14921 0.19656 0 0 NaN
Exp4_S_cue 0.087988 0.4207 0.39395 0.50117 0.023828 0.018164 0.10439 NaN
Exp4_Error 0.036517 0.081148 0.036857 0.051565 0.13689 0.062149 0.12652 0.023824
Exp4_Weight 0.50583 0 0.19539 0 0 0.29878 0 NaN
Exp5_S_cue 0.18057 0.44687 0.054395 0.24404 0.54668 0.36709 0.13701 NaN
Exp5_Error 0.042443 0.028343 0.10339 0.032469 0.040747 0.050289 0.082399 0.014622
Exp5_Weight 0.24616 0.29003 0 0 0 0.31167 0.15214 NaN
W. Avg. S_cue 0.13308 0.41274 0.049147 0.13803 0.39968 0.006618 0.0067398 NaN
Mean Error 0.033612 0.037793 0.056398 0.036002 0.045902 0.052045 0.09288 0.0093937
Mean Weight 0.27737 0.065746 0.11096 0.036372 0.2453 0.21914 0.045114 NaN
MSS ISS MSSD ISSD ITIT IC MI Error_Oracle Error_WSM Error_LTA Error_MTA Error_WTA BIC_Oracle BIC_WSM BIC_LTA BIC_MTA BIC_WTA
_______ _______ ________ ________ ________ _______ ________ ____________ _________ _________ _________ _________ __________ _______ _______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 0.36572 0.25879 0.099619 0.011616 0.063761 0.1425 0.057989 0.01712 0.038925 0.027566 0.026456 0.13467 -21.708 -10.492 -28.706 -27.59 -8.8958
MSS, ISS, MSSD, ISSD, ITIT, IC 0.43434 0.19318 0.079137 0.014125 0.059996 0.21922 NaN 0.012969 0.036479 0.014575 0.022774 0.098714 -26.677 -12.43 -37.278 -30.812 -14.523
MSS, ISS, ISSD, ITIT, IC 0.43193 0.26696 NaN 0.056932 0.034205 0.20997 NaN 0.015214 0.037527 0.022401 0.017423 0.1208 -30.311 -17.783 -40.846 -40.236 -15.683
MSS, ISS, ISSD, ITIT 0.5488 0.26686 NaN 0.063321 0.12102 NaN NaN 0.016162 0.033983 0.024578 0.01713 0.10514 -34.762 -28.998 -50.46 -42.271 -23.144
MSS, ISSD, ITIT 0.67657 NaN NaN 0.04938 0.27405 NaN NaN 0.017924 0.03419 0.015429 0.019374 0.056798 -35.67 -32.034 -41.438 -42.666 -26.895
MSS, ITIT 0.7248 NaN NaN NaN 0.2752 NaN NaN 0.020831 0.035228 0.013657 0.019573 0.049773 -39.507 -35.934 -48.509 -43.4 -31.274
MSS 1 NaN NaN NaN NaN NaN NaN 0.042851 0.042851 0.033612 0.033612 0.033612 -33.543 -33.543 -43.107 -43.107 -43.107
baumgartner2017
MSS ISS MSSD ISSD ITIT IC MI Oracle
_________ __________ ________ _________ __________ _________ __________ __________
Exp1_S_cue 0.073828 0.88369 0.021484 0.62119 0.79141 0.0083008 0.0035156 NaN
Exp1_Error 0.081818 0.011274 0.042295 0.052943 0.0035124 0.0047487 0.012107 0.0036647
Exp1_Weight 0 0 0.012803 0 0.59117 0.32259 0.073434 NaN
Exp2_S_cue 0.12051 0.00019531 0.019629 0.0069336 0.00078125 0.0012695 4.8828e-05 NaN
Exp2_Error 0.0019367 0.063476 0.010901 0.017217 0.0035481 0.0049122 0.046273 0.00029003
Exp2_Weight 0.019309 0 0.34659 0.032649 0.4388 0.16266 0 NaN
Exp3_S_cue 0.2293 0.33135 0.12402 0.15986 0.12969 0.035156 0.00026855 NaN
Exp3_Error 0.0053458 0.0047244 0.088551 0.025814 0.044811 0.13813 0.1971 0.0045675
Exp3_Weight 0.61553 0.0387 0 0.14921 0.19656 0 0 NaN
Exp4_S_cue 0.087988 0.4207 0.39395 0.50117 0.023828 0.018164 0.10439 NaN
Exp4_Error 0.036517 0.081148 0.036857 0.051565 0.13689 0.062149 0.12652 0.023824
Exp4_Weight 0.50583 0 0.19539 0 0 0.29878 0 NaN
Exp5_S_cue 0.18057 0.44687 0.054395 0.24404 0.54668 0.36709 0.13701 NaN
Exp5_Error 0.042443 0.028343 0.10339 0.032469 0.040747 0.050289 0.082399 0.014622
Exp5_Weight 0.24616 0.29003 0 0 0 0.31167 0.15214 NaN
W. Avg. S_cue 0.13308 0.41274 0.049147 0.13803 0.39968 0.006618 0.0067398 NaN
Mean Error 0.033612 0.037793 0.056398 0.036002 0.045902 0.052045 0.09288 0.0093937
Mean Weight 0.27737 0.065746 0.11096 0.036372 0.2453 0.21914 0.045114 NaN
MSS ISS MSSD ISSD ITIT IC MI Error_Oracle Error_WSM Error_LTA Error_MTA Error_WTA BIC_Oracle BIC_WSM BIC_LTA BIC_MTA BIC_WTA
_______ _______ ________ ________ ________ _______ ________ ____________ _________ _________ _________ _________ __________ _______ _______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 0.36572 0.25879 0.099619 0.011616 0.063761 0.1425 0.057989 0.01712 0.038925 0.027566 0.026456 0.13467 -21.708 -10.492 -28.706 -27.59 -8.8958
MSS, ISS, MSSD, ISSD, ITIT, IC 0.43434 0.19318 0.079137 0.014125 0.059996 0.21922 NaN 0.012969 0.036479 0.014575 0.022774 0.098714 -26.677 -12.43 -37.278 -30.812 -14.523
MSS, ISS, ISSD, ITIT, IC 0.43193 0.26696 NaN 0.056932 0.034205 0.20997 NaN 0.015214 0.037527 0.022401 0.017423 0.1208 -30.311 -17.783 -40.846 -40.236 -15.683
MSS, ISS, ISSD, ITIT 0.5488 0.26686 NaN 0.063321 0.12102 NaN NaN 0.016162 0.033983 0.024578 0.01713 0.10514 -34.762 -28.998 -50.46 -42.271 -23.144
MSS, ISSD, ITIT 0.67657 NaN NaN 0.04938 0.27405 NaN NaN 0.017924 0.03419 0.015429 0.019374 0.056798 -35.67 -32.034 -41.438 -42.666 -26.895
MSS, ITIT 0.7248 NaN NaN NaN 0.2752 NaN NaN 0.020831 0.035228 0.013657 0.019573 0.049773 -39.507 -35.934 -48.509 -43.4 -31.274
MSS 1 NaN NaN NaN NaN NaN NaN 0.042851 0.042851 0.033612 0.033612 0.033612 -33.543 -33.543 -43.107 -43.107 -43.107
boyd2012
MSS ISS MSSD ISSD ITIT IC MI Oracle
_________ __________ ________ _________ __________ _________ __________ __________
Exp1_S_cue 0.073828 0.88369 0.021484 0.62119 0.79141 0.0083008 0.0035156 NaN
Exp1_Error 0.081818 0.011274 0.042295 0.052943 0.0035124 0.0047487 0.012107 0.0036647
Exp1_Weight 0 0 0.012803 0 0.59117 0.32259 0.073434 NaN
Exp2_S_cue 0.12051 0.00019531 0.019629 0.0069336 0.00078125 0.0012695 4.8828e-05 NaN
Exp2_Error 0.0019367 0.063476 0.010901 0.017217 0.0035481 0.0049122 0.046273 0.00029003
Exp2_Weight 0.019309 0 0.34659 0.032649 0.4388 0.16266 0 NaN
Exp3_S_cue 0.2293 0.33135 0.12402 0.15986 0.12969 0.035156 0.00026855 NaN
Exp3_Error 0.0053458 0.0047244 0.088551 0.025814 0.044811 0.13813 0.1971 0.0045675
Exp3_Weight 0.61553 0.0387 0 0.14921 0.19656 0 0 NaN
Exp4_S_cue 0.087988 0.4207 0.39395 0.50117 0.023828 0.018164 0.10439 NaN
Exp4_Error 0.036517 0.081148 0.036857 0.051565 0.13689 0.062149 0.12652 0.023824
Exp4_Weight 0.50583 0 0.19539 0 0 0.29878 0 NaN
Exp5_S_cue 0.18057 0.44687 0.054395 0.24404 0.54668 0.36709 0.13701 NaN
Exp5_Error 0.042443 0.028343 0.10339 0.032469 0.040747 0.050289 0.082399 0.014622
Exp5_Weight 0.24616 0.29003 0 0 0 0.31167 0.15214 NaN
W. Avg. S_cue 0.13308 0.41274 0.049147 0.13803 0.39968 0.006618 0.0067398 NaN
Mean Error 0.033612 0.037793 0.056398 0.036002 0.045902 0.052045 0.09288 0.0093937
Mean Weight 0.27737 0.065746 0.11096 0.036372 0.2453 0.21914 0.045114 NaN
MSS ISS MSSD ISSD ITIT IC MI Error_Oracle Error_WSM Error_LTA Error_MTA Error_WTA BIC_Oracle BIC_WSM BIC_LTA BIC_MTA BIC_WTA
_______ _______ ________ ________ ________ _______ ________ ____________ _________ _________ _________ _________ __________ _______ _______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 0.36572 0.25879 0.099619 0.011616 0.063761 0.1425 0.057989 0.01712 0.038925 0.027566 0.026456 0.13467 -21.708 -10.492 -28.706 -27.59 -8.8958
MSS, ISS, MSSD, ISSD, ITIT, IC 0.43434 0.19318 0.079137 0.014125 0.059996 0.21922 NaN 0.012969 0.036479 0.014575 0.022774 0.098714 -26.677 -12.43 -37.278 -30.812 -14.523
MSS, ISS, ISSD, ITIT, IC 0.43193 0.26696 NaN 0.056932 0.034205 0.20997 NaN 0.015214 0.037527 0.022401 0.017423 0.1208 -30.311 -17.783 -40.846 -40.236 -15.683
MSS, ISS, ISSD, ITIT 0.5488 0.26686 NaN 0.063321 0.12102 NaN NaN 0.016162 0.033983 0.024578 0.01713 0.10514 -34.762 -28.998 -50.46 -42.271 -23.144
MSS, ISSD, ITIT 0.67657 NaN NaN 0.04938 0.27405 NaN NaN 0.017924 0.03419 0.015429 0.019374 0.056798 -35.67 -32.034 -41.438 -42.666 -26.895
MSS, ITIT 0.7248 NaN NaN NaN 0.2752 NaN NaN 0.020831 0.035228 0.013657 0.019573 0.049773 -39.507 -35.934 -48.509 -43.4 -31.274
MSS 1 NaN NaN NaN NaN NaN NaN 0.042851 0.042851 0.033612 0.033612 0.033612 -33.543 -33.543 -43.107 -43.107 -43.107
To display results for different decision strategies use
exp_baumgartner2020('fig3');
This code produces the following output:
Prediciton errors for tested decisions:
RMSE_WSM RMSE_LTA RMSE_MTA RMSE_WTA BIC_WSM BIC_LTA BIC_MTA BIC_WTA
________ ________ ________ ________ _______ _______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 0.11753 0.25907 0.182 0.41852 -175.39 -117.95 -156.08 -66.15
MSS, ISS, MSSD, ISSD, ITIT, IC 0.11746 0.25919 0.17486 0.34173 -183.43 -121.89 -164.39 -92.03
MSS, ISS, ISSD, ITIT, IC 0.11746 0.25839 0.16137 0.28421 -191.41 -126.21 -177.05 -115.92
MSS, ISS, ISSD, ITIT 0.11746 0.26063 0.16076 0.21793 -199.39 -129.27 -181.45 -148.59
MSS, ISSD, ITIT 0.12531 0.27233 0.18663 0.21494 -200.38 -128.51 -169.32 -154.07
MSS, ITIT 0.13731 0.28173 0.1829 0.20275 -198.48 -128.84 -175.5 -164.37
MSS 0.1456 0.1456 0.1456 0.1456 -200.12 -204.11 -204.11 -204.11
WSM weights/percentages
MSS ISS MSSD ISSD ITIT IC MI RMSE BIC
_______ _______ ____ ________ _________ ___ ________ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 0.5816 0.33791 0 0.055988 0.0053909 0 0.019103 0.11753 -175.39
MSS, ISS, MSSD, ISSD, ITIT, IC 0.59493 0.32823 0 0.069774 0.0070735 0 NaN 0.11746 -183.43
MSS, ISS, ISSD, ITIT, IC 0.59457 0.32888 NaN 0.069538 0.0070146 0 NaN 0.11746 -191.41
MSS, ISS, ISSD, ITIT 0.59439 0.32892 NaN 0.069645 0.0070426 NaN NaN 0.11746 -199.39
MSS, ISSD, ITIT 0.70718 NaN NaN 0.25506 0.037764 NaN NaN 0.12531 -200.38
MSS, ITIT 0.85523 NaN NaN NaN 0.14477 NaN NaN 0.13731 -198.48
MSS 1 NaN NaN NaN NaN NaN NaN 0.1456 -200.12
LTA weights/percentages
MSS ISS MSSD ISSD ITIT IC MI RMSE BIC
______ ______ ______ ______ ______ ______ ______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 14.815 22.222 3.7037 9.2593 33.333 12.963 3.7037 0.25907 -117.95
MSS, ISS, MSSD, ISSD, ITIT, IC 12.963 22.222 5.5556 5.5556 40.741 12.963 NaN 0.25919 -121.89
MSS, ISS, ISSD, ITIT, IC 12.963 31.481 NaN 9.2593 31.481 14.815 NaN 0.25839 -126.21
MSS, ISS, ISSD, ITIT 12.963 25.926 NaN 14.815 46.296 NaN NaN 0.26063 -129.27
MSS, ISSD, ITIT 20.37 NaN NaN 16.667 62.963 NaN NaN 0.27233 -128.51
MSS, ITIT 33.333 NaN NaN NaN 66.667 NaN NaN 0.28173 -128.84
MSS 100 NaN NaN NaN NaN NaN NaN 0.1456 -204.11
MTA weights/percentages
MSS ISS MSSD ISSD ITIT IC MI RMSE BIC
______ ______ ______ ______ ______ ______ ______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 31.481 3.7037 12.963 24.074 11.111 11.111 5.5556 0.182 -156.08
MSS, ISS, MSSD, ISSD, ITIT, IC 42.593 12.963 5.5556 31.481 0 7.4074 NaN 0.17486 -164.39
MSS, ISS, ISSD, ITIT, IC 25.926 16.667 NaN 24.074 20.37 12.963 NaN 0.16137 -177.05
MSS, ISS, ISSD, ITIT 33.333 31.481 NaN 33.333 1.8519 NaN NaN 0.16076 -181.45
MSS, ISSD, ITIT 33.333 NaN NaN 50 16.667 NaN NaN 0.18663 -169.32
MSS, ITIT 64.815 NaN NaN NaN 35.185 NaN NaN 0.1829 -175.5
MSS 100 NaN NaN NaN NaN NaN NaN 0.1456 -204.11
WTA weights/percentages
MSS ISS MSSD ISSD ITIT IC MI RMSE BIC
______ ______ ______ ______ ______ ______ ______ _______ _______
MSS, ISS, MSSD, ISSD, ITIT, IC, MI 20.37 5.5556 14.815 1.8519 1.8519 14.815 40.741 0.41852 -66.15
MSS, ISS, MSSD, ISSD, ITIT, IC 20.37 3.7037 33.333 0 7.4074 35.185 NaN 0.34173 -92.03
MSS, ISS, ISSD, ITIT, IC 33.333 12.963 NaN 16.667 12.963 24.074 NaN 0.28421 -115.92
MSS, ISS, ISSD, ITIT 53.704 14.815 NaN 16.667 14.815 NaN NaN 0.21793 -148.59
MSS, ISSD, ITIT 61.111 NaN NaN 27.778 11.111 NaN NaN 0.21494 -154.07
MSS, ITIT 75.926 NaN NaN NaN 24.074 NaN NaN 0.20275 -164.37
MSS 100 NaN NaN NaN NaN NaN NaN 0.1456 -204.11
Contributions and Prediction errors:
MSS ISS MSSD ISSD ITIT IC MI WSM_RMSE CI_low CI_high
_______ _______ ________ _______ ________ ________ ________ ________ ________ _______
0.59938 0.40062 NaN NaN NaN NaN NaN 0.11809 0.095138 0.15122
0.71892 NaN NaN 0.28108 NaN NaN NaN 0.12576 0.10422 0.15793
0.85523 NaN NaN NaN 0.14477 NaN NaN 0.13731 0.1094 0.17667
0.92842 NaN NaN NaN NaN NaN 0.071582 0.14262 0.109 0.20797
0.94641 NaN NaN NaN NaN 0.053586 NaN 0.14426 0.11123 0.19873
0.95871 NaN 0.041292 NaN NaN NaN NaN 0.14507 0.11242 0.20648
NaN 0.82733 0.17267 NaN NaN NaN NaN 0.16374 0.11605 0.24185
NaN 0.89015 NaN NaN NaN 0.10985 NaN 0.16868 0.11486 0.25048
NaN 0.90102 NaN NaN NaN NaN 0.098984 0.16893 0.11859 0.24595
NaN 0.92343 NaN NaN 0.076571 NaN NaN 0.17232 0.12501 0.26552
NaN 0.8758 NaN 0.1242 NaN NaN NaN 0.1725 0.11671 0.24754
NaN NaN NaN 0.78826 0.21174 NaN NaN 0.21719 0.1744 0.28498
NaN NaN 0.20616 0.79384 NaN NaN NaN 0.21723 0.17219 0.27164
NaN NaN NaN 0.87082 NaN 0.12918 NaN 0.22133 0.17412 0.28127
NaN NaN NaN 0.92908 NaN NaN 0.070921 0.22443 0.17917 0.28471
NaN NaN 0.49042 NaN 0.50958 NaN NaN 0.23738 0.19129 0.30121
NaN NaN NaN NaN 0.61042 0.38958 NaN 0.26887 0.21258 0.34104
NaN NaN 0.59676 NaN NaN 0.40324 NaN 0.2692 0.22905 0.32112
NaN NaN NaN NaN 0.64409 NaN 0.35591 0.26923 0.21321 0.32827
NaN NaN 0.69446 NaN NaN NaN 0.30554 0.29945 0.25727 0.34987
NaN NaN NaN NaN NaN 0.72989 0.27011 0.37203 0.29145 0.44524
Sensitivities:
MSS ISS MSSD ISSD ITIT IC MI
_______ _______ ________ _______ _______ _______ _______
0.20029 0.51084 NaN NaN NaN NaN NaN
0.20029 NaN NaN 0.24854 NaN NaN NaN
0.20029 NaN NaN NaN 0.49307 NaN NaN
0.20029 NaN NaN NaN NaN NaN 0.12891
0.20029 NaN NaN NaN NaN 0.33066 NaN
0.20029 NaN 0.080273 NaN NaN NaN NaN
NaN 0.51084 0.080273 NaN NaN NaN NaN
NaN 0.51084 NaN NaN NaN 0.33066 NaN
NaN 0.51084 NaN NaN NaN NaN 0.12891
NaN 0.51084 NaN NaN 0.49307 NaN NaN
NaN 0.51084 NaN 0.24854 NaN NaN NaN
NaN NaN NaN 0.24854 0.49307 NaN NaN
NaN NaN 0.080273 0.24854 NaN NaN NaN
NaN NaN NaN 0.24854 NaN 0.33066 NaN
NaN NaN NaN 0.24854 NaN NaN 0.12891
NaN NaN 0.080273 NaN 0.49307 NaN NaN
NaN NaN NaN NaN 0.49307 0.33066 NaN
NaN NaN 0.080273 NaN NaN 0.33066 NaN
NaN NaN NaN NaN 0.49307 NaN 0.12891
NaN NaN 0.080273 NaN NaN NaN 0.12891
NaN NaN NaN NaN NaN 0.33066 0.12891
hassager2016 baumgartner2017looming
References:
R. Baumgartner and P. Majdak. Decision making in auditory externalization perception. bioRxiv, 2020. [ DOI ]
A. W. Boyd, W. M. Whitmer, J. J. Soraghan, and M. A. Akeroyd. Auditory externalization in hearing-impaired listeners: The effect of pinna cues and number of talkers. J. Acoust. Soc. Am., 131(3):EL268--EL274, 2012. [ DOI | arXiv | www: ]
W. M. Hartmann and A. Wittenberg. On the externalization of sound images. J. Acoust. Soc. Am., 99(6):3678--88, June 1996. [ http ]
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