THE AUDITORY MODELING TOOLBOX

This documentation page applies to an outdated major AMT version. We show it for archival purposes only.
Click here for the documentation menu and here to download the latest AMT (1.6.0).

View the help

Go to function

DATA_GLASBERG1990 - Notched-noise data for the ERB scale

Program code:

function [delta,sym,asymR,asymL]=data_glasberg1990(varargin)
%DATA_GLASBERG1990 Notched-noise data for the ERB scale
%   Usage: [delta,sym,asymR,asymL]=data_glasberg1990;
%
%   DATA_GLASBERG1990 returns data from Fig.5 (left panel only) from Glasberg &
%   Moore (1990) showing notched-noise data measured both in symmetrical
%   and asymetrical conditions at a center frequency (fc) of 100 Hz.
%
%   Examples:
%   ---------
%
%   To plot Fig. 5 use :
%
%     data_glasberg1990('plot');
% 
%   References:
%     B. R. Glasberg and B. Moore. Derivation of auditory filter shapes from
%     notched-noise data. Hearing Research, 47(1-2):103-138, 1990.
%     
%     B. Moore, R. Peters, and B. Glasberg. Auditory filter shapes at low
%     center frequencies. J. Acoust. Soc. Am., 88(1):132-140, 1990.
%     
%
%   Url: http://amtoolbox.sourceforge.net/amt-0.9.7/doc/humandata/data_glasberg1990.php

% Copyright (C) 2009-2014 Peter L. Søndergaard and Piotr Majdak.
% This file is part of AMToolbox version 0.9.7
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program.  If not, see <http://www.gnu.org/licenses/>.

% Parse input options
definput.flags.plot = {'noplot','plot'};
[flags,keyvals]  = ltfatarghelper({},definput,varargin);

% Plot fig.5 of Glasberg & Moore (1990)
x_delta = [0 .1 .2 .3 .4 .5];
y_sym = [87.5 85.63 84.38 81.25 78.13 73.75];
y_asymR = [83.75 80 75.63 70.63 63.75];
y_asymL = [85.63 83.75 78.13];

if flags.do_plot
    figure;
    plot(x_delta,y_sym,'*k'),hold on
    plot(x_delta(2:end),y_asymR,'>b')
    plot(x_delta(2:end-2),y_asymL,'<r')
    hold off
    axis([-.05 .55 61 94])
    xlabel('Deviation of nearer noise edge \Delta')
    ylabel('Signal level at threshold (dB SPL)')
    title('Notched-noise data from Moore et al. (1990), one subject')
    legend('Symmetric notch','Rightward asymmetric notch','Leftward asymmetric notch')
end;