%DEMO_HOHMANN2002 Shows how to use the gammatone filterbank from Hohmann(2002)
%
% Part I: This example creates a 4th order gammatone filter with a center
% frequency of 1000Hz and a 3dB-bandwidth of 100Hz, suitable for
% input signals with a sampling frequency of 10kHz.
%
% Part II: This example program demonstrates how to create and use the
% gammatone filterbank within the framework of Hohmann (2002).
%
% Part III: This Example demonstrates how to create and how to use the
% combined analysis-synthesis Filterbank system.
%
% See also: exp_hohmann2002 hohmann2002 hohmann2002_process
%
% Url: http://amtoolbox.sourceforge.net/amt-0.9.8/doc/demos/demo_hohmann2002.php
% Copyright (C) 2009-2015 Piotr Majdak and Peter L. Søndergaard.
% This file is part of AMToolbox version 0.9.8
%
% 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/>.
% author : tp
% date : Jan, Mar 2002, Nov 2006
% last modified: Robert Baumgartner, Jan 18, 2016
%% Part I: Filter example
%%% create the example filter: %%%
center_frequency_hz = 1000;
bandwidth_hz = 100;
attenuation_db = 3;
fs = 44100;
filter_order = 4;
filter = hohmann2002_filter(fs, center_frequency_hz, ...
bandwidth_hz, attenuation_db, filter_order);
%%% print the filter's parameters to the screen %%%
amt_disp(' ');
amt_disp(['The filter coefficient of this filter is: ', ...
num2str(real(filter.coefficient)), ...
' + ', ...
num2str(imag(filter.coefficient))]);
amt_disp(['Its normalization factor is : ', ...
num2str(filter.normalization_factor)]);
%%% plot the impulse response and the frequency response of this filter: %%%
impulse_samples = 8192;
impulse_response_samples = 800;
impulse = [1, zeros(1,impulse_samples - 1)];
[impulse_response, filter] = hohmann2002_process(filter, impulse);
figure(1);
plot([0:impulse_response_samples-1], ...
[real(impulse_response(1:impulse_response_samples)); ...
imag(impulse_response(1:impulse_response_samples)); ...
abs(impulse_response(1:impulse_response_samples))]);
axis([0,impulse_response_samples, -0.035,0.035]);
title('impulse response of example gammatone filter');
xlabel('sample number');
ylabel('filter output');
amt_disp(' ');
amt_disp(['Figure 1 shows the first ',num2str(impulse_response_samples),' samples of']);
amt_disp('the impulse response of a 4th order gammatone filter with a center');
amt_disp(['frequency of ',center_frequency_hz,'Hz and a 3dB-bandwidth of ',bandwidth_hz,'Hz.']);
amt_disp('Real part, imaginary part, and absolute value of the impulse ');
amt_disp('response are plotted as lines 1, 2, and 3, respectively. ');
%%% plot the frequency response of this filter: %%%
frequency_response = abs(fft(real(impulse_response.')));
figure(2);
plot([0:(impulse_samples - 1)] * ...
(fs / impulse_samples), ...
20 * log10(frequency_response));
axis([0,1500, -40,0]);
title('frequency response of example gammatone filter');
xlabel('frequency / Hz');
ylabel('filter response / dB');
amt_disp(' ');
amt_disp('Figure 2 shows the frequency response function of this filter');
amt_disp('in dB over frequency in Hz.');
%% Part II: Filterbank example
flow = 70;
fhigh = 6700;
base_frequency_hz = 1000;
fs = 16276;
filters_per_ERB = 1.0;
amt_disp(['Building a filterbank for ', num2str(fs), ...
'Hz sampling frequency.']);
amt_disp(['Lower cutoff frequency: ', num2str(flow), 'Hz']);
amt_disp(['Upper cutoff frequency: ', num2str(fhigh), 'Hz']);
amt_disp(['Base frequency : ', num2str(base_frequency_hz), 'Hz']);
amt_disp(['filters per ERB : ', num2str(filters_per_ERB)]);
amt_disp(' ')
analyzer = hohmann2002(fs, flow, base_frequency_hz, fhigh, filters_per_ERB);
bands = length(analyzer.center_frequencies_hz);
amt_disp(['filterbank contains ', num2str(bands), ' filters:']);
fprintf(1,'%3s|%12s |%15s |%16s\n\n', ...
'# ', 'f / Hz ', 'normalization', 'coefficient');
%%% display filter parameters of the individual filters
for band = 1:bands
filter = analyzer.filters(band);
fprintf(1,'%3d|%12f |%15e | %f + %fi\n', ...
band, analyzer.center_frequencies_hz(band), ...
filter.normalization_factor, ...
real(filter.coefficient), imag(filter.coefficient));
end
%%% plot the frequency response of the individual filters
frequency = 0:2:fs/2;
h=hohmann2002_freqz(analyzer,exp(2*1i*pi*frequency/fs));
figure(3);
plot(frequency, 20 * log10(abs(h)));
axis([0, fs/2, -40, 7]);
title('frequency response of the individual filters in this filterbank');
xlabel('frequency / Hz');
ylabel('filter response / dB');
amt_disp(' ');
amt_disp('Figure 3 shows the frequency response of the individual filters.');
%% Part III: Example for combined analysis-synthesis filterbank system
%%% First, create a filterbank analyzer as in Part I %%%
flow = 70;
fhigh = 6700;
base_frequency_hz = 1000;
sampling_rate_hz = 16276;
filters_per_ERB = 1.0;
desired_delay_in_seconds = 0.004;
filter_order = 4;
bandwidth_factor = 1.0;
amt_disp('Building analysis filterbank');
analyzer = hohmann2002(sampling_rate_hz, flow, ...
base_frequency_hz, fhigh,...
filters_per_ERB, filter_order, bandwidth_factor);
%%% Now create a synthesizer that can resynthesize the analyzer's output %%%
amt_disp(['Building synthesizer for an analysis-synthesis delay of ', ...
num2str(desired_delay_in_seconds), ' seconds']);
synthesizer = hohmann2002_synth(analyzer, desired_delay_in_seconds);
%%% Extract the synthesizer's parameters %%%
amt_disp(['The synthesizers parameters:';...
'----------------------------']);
delay = synthesizer.delay;
mixer = synthesizer.mixer;
bands = length(mixer.gains);
fprintf(1,'%3s|%7s | %22s | %5s\n\n', ...
'# ', 'delay ', 'phase factor ', 'gain / dB');
for band = 1:bands
fprintf(1,'%3d|%7d | %9f + %9fi | %5.2f\n', ...
band, ...
delay.delays_samples(band), ...
real(delay.phase_factors(band)), ...
imag(delay.phase_factors(band)), ...
20*log10(mixer.gains(band)));
end
%%% plot the resynthesized impulse and the frequency response of the %%%
%%% analysis-synthesis system %%%
impulse = [1, zeros(1,8191)];
[analyzed_impulse, analyzer] = hohmann2002_process(analyzer, impulse);
[resynthesized_impulse, synthesizer] = ...
hohmann2002_process(synthesizer, analyzed_impulse);
figure(4);
plot([0:8191]/sampling_rate_hz*1e3, resynthesized_impulse);
axis([40/sampling_rate_hz*1e3, 120/sampling_rate_hz*1e3, -1, 1]);
title('impulse response of the analysis-synthesis system');
xlabel('time / ms');
ylabel('system output');
amt_disp(' ');
amt_disp('Figure 4 shows the impulse response of the analysis-synthesis');
amt_disp('system in the time domain.');
frequency = [0:8191] * sampling_rate_hz / 8192;
figure(5)
plot(frequency, 20 * log10(abs(fft(resynthesized_impulse'))));
axis([0, sampling_rate_hz/2, -40, 5]);
title('frequency response of the analysis-synthesis-system');
xlabel('frequency / Hz');
ylabel('system response level / dB');
amt_disp(' ');
amt_disp('Figure 5 shows its frequency response.');