<?php
include(getcwd()."/include/"."header.php");
print_header("Models in the Auditory Modeling Toolbox","auditory models, matlab, octave, overview");
?>
<body>
<div class="container">
<!-- nav header -->
<div class="masthead">
<?php topmenu("Models"); ?>
</div>
<!-- main page -->
<div class="row-fluid">
<div class="span12">
<h2>Models included in the AMT (latest release, 1.6.0)</h2>
<p>In order to describe the quality of the models available in the AMT, we rate the implementation of every model by considering its <b>source code</b> and <b>documentation</b>. We also rate the models in terms of their <b>verification</b>, i.e., we rate the results of the implementation versus the results shown in the corresponding publication. The comparison is done within the experiments implemented in the exp_ functions. In the best case, the experiments produce the same results as in the publication - up to some minor layout issues in the graphical representations.
<p>The following table provides an overview of the available models, their documentation, code, and verification status.</p>
<table class="table table-hover">
<tbody>
<!-- ------------ PERIPHERAL -------------------- -->
<tr class="info">
<td><b>Peripheral models (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Gammatone filterbank</td><td>gammatone</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Linear filtering for monaural masking (basic)</td><td>dau1996</td><td><img src="OK.svg"></td><td><img src="perfect.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Linear filtering for monaural masking (improved)</td><td>dau1997</td><td><img src="OK.svg"></td><td><img src="perfect.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Dual-resonance nonlinear filterbank (DRNL)</td><td>lopezpoveda2001</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Invertible Gammatone filterbank</td><td>hohmann2002</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Auditory-nerve filterbank (basic)</td><td>zilany2007</td><td><img src="OK.svg"></td><td><img src="perfect.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Fast acting compression (CARFAC) model</td><td>lyon2011</td><td><img src="ok.svg"></td><td><img src="ok.svg"></td><td><img src="unknown.svg"></td>
</tr> ´
<tr>
<td>Cochlear transmission-line model (basic)</td><td>verhulst2012</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Auditory-nerve filterbank (improved)</td><td>zilany2014</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Cochlear transmission-line model (improved)</td><td>verhulst2015</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Compression in the simultaneous masker phase effect</td><td>tabuchi2016</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Cochlear transmission-line model (improved, incl. brainstem)</td><td>verhulst2018</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Auditory nerve filterbank (improved, ready for brainstem)</td><td>bruce2018</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<td>Nonlinear filterbank (based on a broken-stick) including modulation filterbank</td><td>king2019</td><td><img src="perfect.svg"></td><td><img src="good.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Nonlinear filterbank (based on the DRNL) including modulation filterbank</td><td>relanoiborra2019</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Auditory-nerve spike generation</td><td>decheveigne2023</td><td><img src="submitted.svg"></td><td><img src="submitted.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Electrically stimulated nerve fiber (aLIFP model)</td><td>felsheim2024</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Fast acting compression model with two capacitors (CARFAC v2)</td><td>lyon2024</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="qualified.svg"></td>
</tr> ´
<tr>
<td>Computational auditory signal processing and perception (CASP) model</td><td>paulick2024</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="qualified.svg"></td>
</tr> ´
<!-- ------------ Temporal-modulation sensitivity -------------------- -->
<tr class="info">
<td><b>Temporal-modulation sensitivity (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Modulation (leaky-integrator model)</td><td>viemeister1979</td><td><img src="submitted.svg"></td><td><img src="submitted.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Non-linear adapation network</td><td>karjalainen1996</td><td><img src="submitted.svg"></td><td><img src="submitted.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Modulation filterbank (based on EPSM)</td><td>ewert2000</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Auditory brainstem responses</td><td>roenne2012</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Brainstem processing (CN and IC)</td><td>carney2015</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<!-- ------------ BINAURAL Processing -------------------- -->
<tr class="info">
<td><b>Binaural processing (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Binaural activity (based on cross-correlation)</td><td>lindemann1986</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Binaural signal detection</td><td>breebaart2001</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Binaural masking level difference</td><td>culling2004</td><td><img src="good.svg"></td><td><img src="perfect.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Binaural activity map</td><td>takanen2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Binaural processing</td><td>smalt2014</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="qualified.svg"></td>
</tr>
</tr>
<tr>
<td>Binaural detection model based on interaural coherence</td><td>eurich2022</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>ITDs of hearing-aid users</td><td>pausch2022</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Binaural masking level difference (dynamic sources)</td><td>bischof2023</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<!-- ------------ Monaural speech perception -------------------- -->
<tr class="info">
<td><b>Monaural speech perception (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Short-time objective intelligibility</td><td>taal2011</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Intelligibility in noise</td><td>joergensen2011</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Intelligibility in noise</td><td>joergensen2013</td><td><img src="OK.svg"></td><td><img src="OK.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Intelligibility with harmonic-cancellation</td><td>prudhomme2020</td><td><img src="perfect.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<!-- ------------ Binaural speech perception -------------------- -->
<tr class="info">
<td><b>Binaural speech perception (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Binaural intelligibility in stationary noise (from BRIRs)</td><td>jelfs2011</td><td><img src="good.svg"></td><td><img src="perfect.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Binaural intelligibility of a reverberated speech target</td><td>leclere2015</td><td><img src="perfect.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Blind equalization-cancellation model</td><td>hauth2020</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Binaural intelligibility in non-stationary noise considering audibility</td><td>vicente2020</td><td><img src="perfect.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Binaural intelligibility in non-stationary noise (NH listeners only)</td><td>vicente2020nh</td><td><img src="perfect.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Binaural intelligibility in stationary noise</td><td>lavandier2022</td><td><img src="perfect.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<!-- ------------ Perceptual similarity -------------------- -->
<tr class="info">
<td><b>Perceptual similarity (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Monaural perceptual similarity</td><td>osses2021</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Binaural perceptual similarity</td><td>mckenzie2022</td><td><img src="ok.svg"></td><td><img src="ok.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Binaural perceptual similarity</td><td>llado2022</td><td><img src="good.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<!-- ------------ Audio quality -------------------- -->
<tr class="info">
<td><b>Audio quality (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Binaural audio quality assessement (eMoBi-Q)</td><td>eurich2024</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="qualified.svg"></td>
</tr>
<!-- ------------ LOUDNESS -------------------- -->
<tr class="info">
<td><b>Loudness models (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Stationary sounds</td><td>moore1997</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Time-varying sounds</td><td>glasberg2002</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Time-varying specific loudness for hearing loss specified by audiogram</td><td>bramslow2004</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Binaural long-term total loudness for hearing loss specified by hair-cell impairments</td><td>chen2011</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Binaural time-varying loudness</td><td>moore2016</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="qualified.svg"></td>
</tr>
<!-- ------------ SPATIAL -------------------- -->
<tr class="info">
<td><b>Spatial models (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Vertical-plane localization (simple)</td><td>zakarauskas1993</td><td><img src="submitted.svg"></td><td><img src="submitted.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Median-plane localization</td><td>langendijk2002</td><td><img src="good.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Sound lateral direction</td><td>dietz2011</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Lateralization, supervised training</td><td>may2011</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Directional time-of-arrival (on-axis only)</td><td>ziegelwanger2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Directional time-of-arrival in HRTFs (off-axis, robust)</td><td>ziegelwanger2014</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>´Lateralization in cochlear-implant listeners</td><td>kelvasa2015</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Sagittal-plane localization (simple)</td><td>baumgartner2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="qualified.svg"></td>
</tr>
<tr>
<td>Distance perception</td><td>georganti2013</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Lateralization in sound reproduction systems</td><td>wierstorf2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Sagittal-plane localization (robust)</td><td>baumgartner2014</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Bayesian spherical sound localization (basic)</td><td>reijniers2014</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Sagittal-plane localization (nonlinear, for hearing impairements)</td><td>baumgartner2016</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Sound externalization (ILD based)</td><td>hassager2016</td><td><img src="good.svg"></td><td><img src="perfect.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Sound externalization (reverberant spaces)</td><td>li2020</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Sound externalization (multi-cue)</td><td>baumgartner2021</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Bayesian sound localization (dynamic, ITD-based)</td><td>mclachlan2021</td><td><img src="ok.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Bayesian spherical sound localization (static, multi-feature)</td><td>barumerli2023</td><td><img src="ok.svg"></td><td><img src="ok.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Contextual lateralization based on interaural level differences</td><td>laback2023</td><td><img src="good.svg"></td><td><img src="OK.svg"></td><td><img src="untrusted.svg"></td>
</tr>
<tr>
<td>Headphone effect on time to localize a target (with FrAMBI)</td><td>llado2024</td><td><img src="submitted.svg"></td><td><img src="submitted.svg"></td><td><img src="unknown.svg"></td>
</tr>
<!-- ------------ D A T A ------------------------ -->
<tr class="info">
<td><b>Data from various publications (chronologically)</b></td><td><b>Function</b></td><td><b>Doc</b></td><td><b>Code</b></td><td><b>Verification</b></td>
</tr>
<tr>
<td>Bark scale</td><td>data_zwicker1961</td><td><img src="OK.svg"></td><td><img src="perfect.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Data from Lindemann (1986a)</td><td>data_lindenmann1986</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>ABR wave V data as functon of level and sweeping rate</td><td>data_neely1988</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Notched-noise masking thresholds for the ERB scale</td><td>data_glasberg1990</td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Stapes footplate diplacement</td><td>data_goode1994</td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Externalization ratings</td><td>data_hartmann1996</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Localization performance (non-individualized)</td><td>data_middlebrooks1999</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Masking threshold (binaural and monaural)</td><td>data_vandepar1999</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>BMLD thresholds</td><td>data_breebaart2001</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Outer and middle ear filter data</td><td>data_lopezpoveda2001</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Responses to amplitude panning in median plane</td><td>data_pulkki2001</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Outer- and middle-ear data</td><td>data_glasberg2002</td><td><img src="good.svg"></td><td><img src="good.svg"></td><td><img src="good.svg"></td>
</tr>
<tr>
<td>Localization performance and HRTFs</td><td>data_langendijk2002</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Localization polar error rates</td><td>data_macpherson2003</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Localization errors and spatial correlation coefficients (SCCs)</td><td>data_best2005</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Localization response gains</td><td>data_sabin2005</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Data involved in the modeling process</td><td>data_takanen2005</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Tone bursts</td><td>data_harte2009</td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>ABR wave V data</td><td>data_elberling2010</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Localization performance</td><td>data_majdak2010</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Signal reception thresholds</td><td>data_joergensen2011</td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td><td><img src="unknown.svg"></td>
</tr>
<tr>
<td>Externalization ratings</td><td>data_best2012</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>"Unity responses" from Roenne (2012)</td><td>data_roenne2012</td><td><img src="OK.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>HRTFs and listener-specific sensitivities</td><td>data_baumgartner2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Localization performance in sagittal planes</td><td>data_goupell2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Localization training performance</td><td>data_majdak2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Localization performance in the crosstalk cancellation (CTC) conditions</td><td>data_majdak2013ctc</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Data involved in the modeling process</td><td>data_wierstorf2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>HRTFs and other data involved</td><td>data_ziegelwanger2013</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>HRTFs and listener-specific sensitivities</td><td>data_baumgartner2014</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>HRTFs and other data involved</td><td>data_ziegelwanger2014</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>HRTFs and listener-specific sensitivities</td><td>data_baumgartner2016</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Externalization ratings</td><td>data_hassager2016</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>HRTFs and data of a sound externalization model</td><td>data_baumgartner2017</td><td><img src="good.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Data from sound externalization experiments</td><td>data_baumgartner2017looming</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td>
</tr>
<tr>
<td>Reverberant harmonic complex tone</td><td>data_bischof2023</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
<tr>
<td>Single-unit responses from the auditory nerve of gerbils</td><td>data_heeringa2024</td><td><img src="perfect.svg"></td><td><img src="perfect.svg"></td><td><img src="verified.svg"></td>
</tr>
</tbody>
</table>
Legend for the documentation and the code:<br>
<ul>
<li><img src="submitted.svg"><i>(Submitted)</i>: The model has been submitted to the AMT. There is, however, no working code/documentation in the AMT, or there are compilation errors, or some libraries are missing. The current state of the integration can be seen in the code repository. In the release version, the model neither appears on the website nor is available for download. </li>
<li><img src="OK.svg"><i>(OK)</i>: The code fits the AMT conventions just enough for being available for download. The model and its documentation appear on the website, but major work is still required.</li>
<li><img src="good.svg"><i>(Good)</i>: The code/documentation follows our conventions, but there are open issues.</li>
<li><img src="perfect.svg"><i>(Perfect)</i>: The code/documentation is fully up to our conventions, no open issues.</li>
</ul>
<br>
Legend for the verifications:
<ul>
<li><img src="unknown.svg"><i>(Unknown)</i>: The AMT can not run experiments for this model and can not produce results for a verification. This might be the case when the verification code has not been provided or nobody has verified yet.</li>
<li><img src="untrusted.svg"><i>(Untrusted)</i>: The verification code is available but the experiments do not reproduce the relevant parts of the publication. Such an implementation shall not be trusted as a basis for further developments.</li>
<li><img src="qualified.svg"><i>(Qualified)</i>: The experiments produce similar results as in the publication in terms of showing trends and explaining the effects, but not necessarily matching the numerical results. Explanation for the differences can be provided, for example, not all original data available, or publication affected by a known and documented bug.</li>
<li><img src="verified.svg"><i>(Verified)</i>: The experiments produce the same results as in the publication. Minor differences are allowed if randomness is involved in the model, for instance, noise as input signal, probabilistic modeling approaches, and a plausible explanation is provided </li>
</ul>
Note that the description of a model implementation is only a snapshot of the development since the implementations in the AMT are continuously developed, evaluated, and improved.
<h2>Model overview of previous releases:</h2>
<ul>
<li><a href="models_1.5.0.php">1.5.0</a></li>
<li><a href="models_1.4.0.php">1.4.0</a></li>
<li><a href="models_1.3.0.php">1.3.0</a></li>
<li><a href="models_1.2.0.php">1.2.0</a></li>
<li><a href="models_1.1.0.php">1.1.0</a></li>
<li><a href="models_1.0.0.php">1.0.0</a></li>
<li><a href="models_0.10.0.php">0.10.0</a></li>
<li><a href="models_0.9.9.php">0.9.9</a></li>
<li><a href="models_0.9.8.php">0.9.8</a></li>
<li><a href="models_0.9.7.php">0.9.7</a></li>
<li><a href="models_0.9.6.php">Pre 0.9.7 (incomplete table)</a></li>
</ul>
</div><!--</span12>-->
</div><!--</row-fluid>-->
<!-- footer -->
<?php include(getcwd()."/include/"."footer.php"); ?>
</div><!--</container>-->
</body>
</html>
<!-- vim: set textwidth=120 ts=2 sw=2: -->
