function out = plot_moore2016(ShortTermLoudness, LongTermLoudness,varargin)
%PLOT_MOORE2016 plots from Moore et al. 2016
%
%   Usage:
%     out = plot_moore2016(ShortTermLoudness, LongTermLoudness)
%
%   Input parameters:
%     ShortTermLoudness   : as calculated by Moore2016 [sone]
%     LongTermLoudness    : as calculated by Moore2016  [sone]
%
%   Output parameters:
%     out   : interpolated loudness [phon]
%
%   This function plots the long term- and short term loudness [sone] and
%   converts it to phon.
%
%   Url: http://amtoolbox.org/amt-1.4.0/doc/plot/plot_moore2016.php


%   #StatusDoc: Good
%   #StatusCode: Good
%   #Verification: Unknown
%   #Requirements: M-Signal
%   #Author: Josef Schlittenlacher (2018): original code
%   #Author: Clara Hollomey (2021): integration in the AMT

% This file is licensed unter the GNU General Public License (GPL) either 
% version 3 of the license, or any later version as published by the Free Software 
% Foundation. Details of the GPLv3 can be found in the AMT directory "licences" and 
% at <https://www.gnu.org/licenses/gpl-3.0.html>. 
% You can redistribute this file and/or modify it under the terms of the GPLv3. 
% This file is distributed without any warranty; without even the implied warranty 
% of merchantability or fitness for a particular purpose. 

%filenameSound = 'testSound';
%filenameFilter = 'default';
%dBMax = 100; 

figure;
plot( 0:(length(ShortTermLoudness)-1), ShortTermLoudness, 'b-' );
hold on;
plot( 0:(length(LongTermLoudness)-1), LongTermLoudness, 'r-' );
xlabel( 'time [ms]');
ylabel( 'Loudness [sone]');
legend( 'Short-term loudness','Long-term loudness' );

% strOutputFilename = [filenameSound ' ' num2str( dBMax ) ' dB calibration level TVL 2018.txt'];
% fid = fopen(strOutputFilename,'wt+');
% fprintf(fid,[filenameSound '\n\n']);
% fprintf(fid,['Calibration level:      ' num2str(dBMax) ' dB SPL (RMS level of a full-scale sinusoid)\n'] );
% fprintf(fid,['Filename of FIR filter: ' filenameFilter '\n\n']);
% fprintf(fid,['Maximum of long-term loudness:  ' num2str(max(LongTermLoudness),'%9.2f') ' sone\n'] );
% fprintf(fid,['                                ' num2str(max(Sone2Phon(LongTermLoudness)),'%9.2f') ' phon\n'] );
% fprintf(fid,['Maximum of short-term loudness: ' num2str(max(ShortTermLoudness),'%9.2f') ' sone\n'] );
% fprintf(fid,['                                ' num2str(max(Sone2Phon(ShortTermLoudness)),'%9.2f') ' phon\n\n'] );
% fprintf(fid,'Loudness over time\n');
% fprintf(fid,'1st column: time in milliseconds\n');
% fprintf(fid,'2nd column: short-term loudness in sone\n');
% fprintf(fid,'3rd column: short-term loudness level in phon\n');
% fprintf(fid,'4th column: long-term loudness in sone\n');
% fprintf(fid,'5th column: long-term loudness level in phon\n\n');
% fprintf(fid,'   time   short-t. loudness    long-t. loudness\n');
% fprintf(fid,'     ms      sone      phon      sone      phon\n');
% for i=1:length( LongTermLoudness )
%     fprintf(fid,'%7.0f %9.2f %9.1f %9.2f %9.1f\n',i-1, ShortTermLoudness(i), Sone2Phon(ShortTermLoudness(i)), LongTermLoudness(i), Sone2Phon(LongTermLoudness(i)) );
% end
% fprintf(fid,'max     %9.2f %9.1f %9.2f %9.1f\n', max(ShortTermLoudness), max(Sone2Phon(ShortTermLoudness)), max(LongTermLoudness), max(Sone2Phon(LongTermLoudness)) );
% fclose(fid);
% out = 1;

function out = Sone2Phon( in )

SonePhone = [ 0.000538 0
0.000566 0.1
0.000596 0.2
0.000627 0.3
0.000660 0.4
0.000694 0.5
0.000730 0.6
0.000768 0.7
0.000808 0.8
0.000849 0.9
0.000893 1
0.000939 1.1
0.000987 1.2
0.001037 1.3
0.001089 1.4
0.001144 1.5
0.001202 1.6
0.001262 1.7
0.001326 1.8
0.001392 1.9
0.001461 2
0.001533 2.1
0.001609 2.2
0.001688 2.3
0.001770 2.4
0.001857 2.5
0.001947 2.6
0.002043 2.7
0.002142 2.8
0.002245 2.9
0.002352 3
0.002464 3.1
0.002581 3.2
0.002703 3.3
0.002830 3.4
0.002963 3.5
0.003101 3.6
0.003245 3.7
0.003395 3.8
0.003551 3.9
0.003714 4
0.003883 4.1
0.004060 4.2
0.004243 4.3
0.004434 4.4
0.004632 4.5
0.004838 4.6
0.005052 4.7
0.005275 4.8
0.005506 4.9
0.005746 5
0.005995 5.1
0.006254 5.2
0.006522 5.3
0.006801 5.4
0.007089 5.5
0.007389 5.6
0.007699 5.7
0.008020 5.8
0.008353 5.9
0.008698 6
0.009040 6.1
0.009362 6.2
0.009693 6.3
0.010036 6.4
0.010390 6.5
0.010756 6.6
0.011090 6.7
0.011430 6.8
0.011780 6.9
0.012111 7
0.012434 7.1
0.012765 7.2
0.013105 7.3
0.013454 7.4
0.013813 7.5
0.014181 7.6
0.014559 7.7
0.014947 7.8
0.015346 7.9
0.015755 8
0.016176 8.1
0.016607 8.2
0.017049 8.3
0.017504 8.4
0.017970 8.5
0.018448 8.6
0.018905 8.7
0.019358 8.8
0.019822 8.9
0.020289 9
0.020727 9.1
0.021175 9.2
0.021631 9.3
0.022098 9.4
0.022574 9.5
0.023060 9.6
0.023556 9.7
0.024062 9.8
0.024579 9.9
0.025107 10
0.025645 10.1
0.026195 10.2
0.026756 10.3
0.027329 10.4
0.027913 10.5
0.028510 10.6
0.029118 10.7
0.029740 10.8
0.030373 10.9
0.031029 11
0.031689 11.1
0.032363 11.2
0.033050 11.3
0.033751 11.4
0.034466 11.5
0.035196 11.6
0.035941 11.7
0.036700 11.8
0.037464 11.9
0.038158 12
0.038862 12.1
0.039577 12.2
0.040303 12.3
0.041041 12.4
0.041790 12.5
0.042552 12.6
0.043326 12.7
0.044112 12.8
0.044910 12.9
0.045721 13
0.046545 13.1
0.047382 13.2
0.048233 13.3
0.049096 13.4
0.049973 13.5
0.050864 13.6
0.051769 13.7
0.052688 13.8
0.053621 13.9
0.054570 14
0.055533 14.1
0.056511 14.2
0.057504 14.3
0.058512 14.4
0.059536 14.5
0.060576 14.6
0.061632 14.7
0.062705 14.8
0.063793 14.9
0.064899 15
0.066022 15.1
0.067162 15.2
0.068320 15.3
0.069453 15.4
0.070597 15.5
0.071757 15.6
0.072934 15.7
0.074127 15.8
0.075308 15.9
0.076482 16
0.077670 16.1
0.078873 16.2
0.080090 16.3
0.081323 16.4
0.082570 16.5
0.083833 16.6
0.085116 16.7
0.086411 16.8
0.087721 16.9
0.089047 17
0.090389 17.1
0.091747 17.2
0.093122 17.3
0.094514 17.4
0.095923 17.5
0.097349 17.6
0.098792 17.7
0.100253 17.8
0.101731 17.9
0.103229 18
0.104743 18.1
0.106276 18.2
0.107828 18.3
0.109399 18.4
0.110988 18.5
0.112597 18.6
0.114225 18.7
0.115873 18.8
0.117541 18.9
0.119230 19
0.120938 19.1
0.122623 19.2
0.124325 19.3
0.126045 19.4
0.127785 19.5
0.129544 19.6
0.131323 19.7
0.133122 19.8
0.134912 19.9
0.136696 20
0.138498 20.1
0.140318 20.2
0.142156 20.3
0.144012 20.4
0.145887 20.5
0.147784 20.6
0.149696 20.7
0.151628 20.8
0.153578 20.9
0.155548 21
0.157538 21.1
0.159547 21.2
0.161576 21.3
0.163626 21.4
0.165696 21.5
0.167786 21.6
0.169903 21.7
0.172036 21.8
0.174190 21.9
0.176366 22
0.178563 22.1
0.180783 22.2
0.183024 22.3
0.185289 22.4
0.187576 22.5
0.189886 22.6
0.192219 22.7
0.194576 22.8
0.196957 22.9
0.199362 23
0.201791 23.1
0.204238 23.2
0.206669 23.3
0.209124 23.4
0.211602 23.5
0.214104 23.6
0.216609 23.7
0.219101 23.8
0.221615 23.9
0.224151 24
0.226708 24.1
0.229287 24.2
0.231888 24.3
0.234512 24.4
0.237158 24.5
0.239826 24.6
0.242518 24.7
0.245233 24.8
0.247972 24.9
0.250734 25
0.253520 25.1
0.256329 25.2
0.259169 25.3
0.262028 25.4
0.264912 25.5
0.267821 25.6
0.270756 25.7
0.273716 25.8
0.276702 25.9
0.279714 26
0.282753 26.1
0.285819 26.2
0.288911 26.3
0.292031 26.4
0.295179 26.5
0.298354 26.6
0.301558 26.7
0.304790 26.8
0.308052 26.9
0.311342 27
0.314663 27.1
0.318009 27.2
0.321331 27.3
0.324682 27.4
0.328056 27.5
0.331414 27.6
0.334799 27.7
0.338209 27.8
0.341646 27.9
0.345109 28
0.348600 28.1
0.352118 28.2
0.355663 28.3
0.359236 28.4
0.362838 28.5
0.366467 28.6
0.370125 28.7
0.373811 28.8
0.377527 28.9
0.381272 29
0.385049 29.1
0.388854 29.2
0.392689 29.3
0.396555 29.4
0.400452 29.5
0.404382 29.6
0.408341 29.7
0.412333 29.8
0.416357 29.9
0.420413 30
0.424503 30.1
0.428625 30.2
0.432782 30.3
0.436946 30.4
0.441110 30.5
0.445306 30.6
0.449533 30.7
0.453792 30.8
0.458083 30.9
0.462407 31
0.466763 31.1
0.471153 31.2
0.475576 31.3
0.480033 31.4
0.484524 31.5
0.489051 31.6
0.493612 31.7
0.498207 31.8
0.502838 31.9
0.507505 32
0.512167 32.1
0.516858 32.2
0.521583 32.3
0.526345 32.4
0.531141 32.5
0.535973 32.6
0.540841 32.7
0.545746 32.8
0.550687 32.9
0.555666 33
0.560682 33.1
0.565737 33.2
0.570793 33.3
0.575862 33.4
0.580967 33.5
0.586108 33.6
0.591285 33.7
0.596499 33.8
0.601750 33.9
0.607037 34
0.612362 34.1
0.617725 34.2
0.623126 34.3
0.628566 34.4
0.634045 34.5
0.639563 34.6
0.645120 34.7
0.650719 34.8
0.656357 34.9
0.662036 35
0.667756 35.1
0.673518 35.2
0.679322 35.3
0.685168 35.4
0.691057 35.5
0.696990 35.6
0.702966 35.7
0.708987 35.8
0.715052 35.9
0.721162 36
0.727299 36.1
0.733437 36.2
0.739619 36.3
0.745844 36.4
0.752112 36.5
0.758425 36.6
0.764782 36.7
0.771140 36.8
0.777537 36.9
0.783978 37
0.790463 37.1
0.796992 37.2
0.803566 37.3
0.810184 37.4
0.816848 37.5
0.823559 37.6
0.830315 37.7
0.837118 37.8
0.843968 37.9
0.850865 38
0.857811 38.1
0.864805 38.2
0.871847 38.3
0.878939 38.4
0.886081 38.5
0.893274 38.6
0.900517 38.7
0.907772 38.8
0.915052 38.9
0.922381 39
0.929759 39.1
0.937186 39.2
0.944662 39.3
0.952189 39.4
0.959766 39.5
0.967394 39.6
0.975074 39.7
0.982806 39.8
0.990590 39.9
0.998428 40
1.006318 40.1
1.014263 40.2
1.022262 40.3
1.030316 40.4
1.038425 40.5
1.046591 40.6
1.054813 40.7
1.063092 40.8
1.071429 40.9
1.079825 41
1.088279 41.1
1.096791 41.2
1.105299 41.3
1.113864 41.4
1.122486 41.5
1.131144 41.6
1.139833 41.7
1.148579 41.8
1.157382 41.9
1.166242 42
1.175160 42.1
1.184136 42.2
1.193172 42.3
1.202267 42.4
1.211422 42.5
1.220637 42.6
1.229914 42.7
1.239252 42.8
1.248652 42.9
1.258115 43
1.267642 43.1
1.277233 43.2
1.286888 43.3
1.296609 43.4
1.306395 43.5
1.316218 43.6
1.326069 43.7
1.335984 43.8
1.345962 43.9
1.356005 44
1.366114 44.1
1.376287 44.2
1.386528 44.3
1.396835 44.4
1.407210 44.5
1.417652 44.6
1.428164 44.7
1.438745 44.8
1.449396 44.9
1.460117 45
1.470910 45.1
1.481776 45.2
1.492713 45.3
1.503725 45.4
1.514810 45.5
1.525971 45.6
1.537207 45.7
1.548466 45.8
1.559783 45.9
1.571173 46
1.582638 46.1
1.594177 46.2
1.605791 46.3
1.617481 46.4
1.629248 46.5
1.641050 46.6
1.652924 46.7
1.664873 46.8
1.676900 46.9
1.689005 47
1.701189 47.1
1.713453 47.2
1.725796 47.3
1.738221 47.4
1.750727 47.5
1.763316 47.6
1.775988 47.7
1.788706 47.8
1.801474 47.9
1.814322 48
1.827252 48.1
1.840265 48.2
1.853360 48.3
1.866540 48.4
1.879804 48.5
1.893153 48.6
1.906588 48.7
1.920110 48.8
1.933720 48.9
1.947418 49
1.961206 49.1
1.975083 49.2
1.989052 49.3
2.003113 49.4
2.017266 49.5
2.031514 49.6
2.045832 49.7
2.060195 49.8
2.074650 49.9
2.089197 50
2.103836 50.1
2.118570 50.2
2.133399 50.3
2.148323 50.4
2.163344 50.5
2.178462 50.6
2.193679 50.7
2.208994 50.8
2.224411 50.9
2.239928 51
2.255548 51.1
2.271270 51.2
2.287098 51.3
2.303030 51.4
2.319006 51.5
2.335026 51.6
2.351147 51.7
2.367370 51.8
2.383696 51.9
2.400125 52
2.416658 52.1
2.433298 52.2
2.450043 52.3
2.466896 52.4
2.483858 52.5
2.500929 52.6
2.518111 52.7
2.535404 52.8
2.552810 52.9
2.570330 53
2.587965 53.1
2.605671 53.2
2.623459 53.3
2.641359 53.4
2.659373 53.5
2.677503 53.6
2.695747 53.7
2.714109 53.8
2.732589 53.9
2.751188 54
2.769908 54.1
2.788748 54.2
2.807712 54.3
2.826799 54.4
2.846012 54.5
2.865351 54.6
2.884817 54.7
2.904358 54.8
2.924000 54.9
2.943768 55
2.963663 55.1
2.983685 55.2
3.003837 55.3
3.024119 55.4
3.044533 55.5
3.065080 55.6
3.085761 55.7
3.106577 55.8
3.127531 55.9
3.148623 56
3.169855 56.1
3.191223 56.2
3.212657 56.3
3.234215 56.4
3.255879 56.5
3.277681 56.6
3.299622 56.7
3.321705 56.8
3.343930 56.9
3.366299 57
3.388813 57.1
3.411474 57.2
3.434283 57.3
3.457242 57.4
3.480352 57.5
3.503579 57.6
3.526910 57.7
3.550391 57.8
3.574022 57.9
3.597806 58
3.621744 58.1
3.645836 58.2
3.670086 58.3
3.694493 58.4
3.719061 58.5
3.743790 58.6
3.768682 58.7
3.793740 58.8
3.818907 58.9
3.844210 59
3.869677 59.1
3.895308 59.2
3.921106 59.3
3.947073 59.4
3.973209 59.5
3.999516 59.6
4.025997 59.7
4.052653 59.8
4.079486 59.9
4.106498 60
4.133633 60.1
4.160918 60.2
4.188380 60.3
4.216021 60.4
4.243843 60.5
4.271848 60.6
4.300038 60.7
4.328414 60.8
4.356978 60.9
4.385729 61
4.414629 61.1
4.443693 61.2
4.472890 61.3
4.502277 61.4
4.531854 61.5
4.561625 61.6
4.591591 61.7
4.621753 61.8
4.652115 61.9
4.682677 62
4.713443 62.1
4.744414 62.2
4.775538 62.3
4.806832 62.4
4.838332 62.5
4.870037 62.6
4.901952 62.7
4.934077 62.8
4.966414 62.9
4.998967 63
5.031737 63.1
5.064727 63.2
5.097897 63.3
5.131240 63.4
5.164802 63.5
5.198586 63.6
5.232593 63.7
5.266827 63.8
5.301288 63.9
5.335981 64
5.370907 64.1
5.406068 64.2
5.441391 64.3
5.476934 64.4
5.512714 64.5
5.548731 64.6
5.584989 64.7
5.621490 64.8
5.658236 64.9
5.695232 65
5.732478 65.1
5.769866 65.2
5.807475 65.3
5.845334 65.4
5.883445 65.5
5.921810 65.6
5.960432 65.7
5.999315 65.8
6.038460 65.9
6.077866 66
6.117452 66.1
6.157300 66.2
6.197415 66.3
6.237799 66.4
6.278455 66.5
6.319386 66.6
6.360594 66.7
6.402083 66.8
6.443782 66.9
6.485742 67
6.527983 67.1
6.570509 67.2
6.613323 67.3
6.656428 67.4
6.699828 67.5
6.743525 67.6
6.787435 67.7
6.831634 67.8
6.876133 67.9
6.920934 68
6.966040 68.1
7.011456 68.2
7.057185 68.3
7.103187 68.4
7.149452 68.5
7.196031 68.6
7.242928 68.7
7.290147 68.8
7.337691 68.9
7.385565 69
7.433741 69.1
7.482169 69.2
7.530895 69.3
7.579955 69.4
7.629352 69.5
7.679089 69.6
7.729171 69.7
7.779553 69.8
7.830233 69.9
7.881261 70
7.932641 70.1
7.984376 70.2
8.036471 70.3
8.088930 70.4
8.141658 70.5
8.194749 70.6
8.248207 70.7
8.302037 70.8
8.356244 70.9
8.410831 71
8.465724 71.1
8.520977 71.2
8.576616 71.3
8.632643 71.4
8.689065 71.5
8.745885 71.6
8.803023 71.7
8.860545 71.8
8.918471 71.9
8.976804 72
9.035552 72.1
9.094700 72.2
9.154185 72.3
9.214088 72.4
9.274415 72.5
9.335171 72.6
9.396361 72.7
9.457916 72.8
9.519880 72.9
9.582285 73
9.645135 73.1
9.708437 73.2
9.772135 73.3
9.836199 73.4
9.900720 73.5
9.965703 73.6
10.031154 73.7
10.097024 73.8
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305.196455 120 ] ;

SonePhone = SonePhone';

out = interp1(SonePhone(1,:), SonePhone(2,:), in, 'cubic');