/
Test.m
335 lines (281 loc) · 13.7 KB
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Test.m
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clear all, close all, dbstop if error %#ok
% this code is reliant on the following Matlab libraries:
% https://github.com/polarch/Spherical-Harmonic-Transform
% https://github.com/polarch/Higher-Order-Ambisonics
%
% Leo McCormack, 22/09/2018, leo.mccormack@aalto.fi
addpath('_Simulated_Rooms_')
%% FIRST-ORDER SIRR EXAMPLE USING A-FORMAT MIC
%% HO-SIRR EXAMPLE USING EIGENMIKE (FREQUENCY-DEPENDENT ANALYSIS ORDER)
%(not implemented yet)
%% CHECKS
%return;
%% HO-SIRR COMPARED WITH REFERENCE AND AMBISONICS
% A simulated Auditorium using LoRA, configured for a 36point t-design
% loudspeaker array [1].
LS_REFERENCE_FILE_NAME = 'Auditorium_64ch_DTU_AVIL';
% USER PARAMETERS
pars.order = 3;
pars.fs = 48e3;
[~,dirs_rad] = getTdesign(8);
pars.ls_dirs_deg = dirs_rad*180/pi;
load('DTU_ls_dirs_deg.mat')
pars.ls_dirs_deg = ls_dirs_deg;
pars.multires_winsize = [256];
pars.multires_xovers = [];
pars.RENDER_DIFFUSE = 1;
pars.BROADBAND_FIRST_PEAK = 1;
pars.nBroadbandPeaks = 1;
pars.decorrelationType = 'noise';
pars.BROADBAND_DIFFUSENESS = 1;
pars.maxDiffFreq_Hz = 3000;
pars.alpha_diff = 0.5;
pars.chOrdering = 'ACN';
pars.normScheme = 'N3D';
% Encode reference audio into spherical harmonics
[refir, fs] = audioread([LS_REFERENCE_FILE_NAME '.wav']); % load input SHD IR, (ACN/N3D)
shir = refir * (sqrt(4*pi).*getRSH(pars.order, pars.ls_dirs_deg)');
% APPLY HO-SIRR
[sirr,sirr_ndiff,sirr_diff,pars,~] = HOSIRR(shir, pars);
audiowrite([LS_REFERENCE_FILE_NAME '_HOSIRR_o' num2str(pars.order) '.wav'], 0.3.*sirr, fs);
% AMBISONICS
ambiIR = shir * (sqrt(4*pi).*getRSH(pars.order, pars.ls_dirs_deg)./size(pars.ls_dirs_deg, 1));
% Plots
subplot(1,3,1), s = surf(10*log10(abs(refir.')));
zlim([-50 0]), xlim([0 pars.fs/4]), xlabel('time'), ylabel('# channel'), title('ref')
s.EdgeColor = 'none';
colormap jet
subplot(1,3,2), s = surf(10*log10(abs(sirr.')));
zlim([-50 0]), xlim([0 pars.fs/4]), xlabel('time'), ylabel('# channel'), title('HO-SIRR')
s.EdgeColor = 'none';
colormap jet
subplot(1,3,3), s = surf(10*log10(abs(ambiIR.')));
zlim([-50 0]), xlim([0 pars.fs/4]), xlabel('time'), ylabel('# channel'), title('Ambisonics')
s.EdgeColor = 'none';
colormap jet
set(gcf,'Position',[40 40 1200 400])
clear pars;
% [1] Favrot, S. and Buchholz, J.M., 2010. LoRA: A loudspeaker-based room
% auralization system. Acta Acustica united with Acustica, 96(2),
% pp.364-375.
%% FIRST-ORDER SIRR CHECKS
pars.order = 1;
pars.fs = 48e3;
[~,dirs_rad] = getTdesign(2*(pars.order+1));
pars.ls_dirs_deg = dirs_rad*180/pi;
pars.multires_winsize = 256;
pars.multires_xovers = [];
pars.RENDER_DIFFUSE = 1;
pars.BROADBAND_FIRST_PEAK = 1;
pars.nBroadbandPeaks = 1;
pars.decorrelationType = 'noise';
pars.BROADBAND_DIFFUSENESS = 1;
pars.maxDiffFreq_Hz = 3000;
pars.alpha_diff = 0.5;
pars.chOrdering = 'ACN';
pars.normScheme = 'N3D';
% --- Single plane-wave input ---
src_dir = [-45 -45]; % try adding more than 1 plane-wave, to see the first-order analysis break
shir = randn(pars.fs, size(src_dir,1)) * (sqrt(4*pi).*getRSH(pars.order, src_dir)).';
[~,~,~,~,analysis] = HOSIRR(shir, pars);
% In this case, we would expect:
% - [azimuth elevation] should correspond to 'src_dir'
% - diffuseness should be 0
% - non-diffuse energy should be similar to input sound-field energy, and
% diffuse energy ~0
figure, subplot(4,1,1), imagesc(analysis.azim{1}*180/pi), colorbar, axis xy, caxis([-180 180]), title('azimuth (degrees)')
subplot(4,1,2), imagesc(analysis.elev{1}*180/pi), colorbar, axis xy, caxis([-90 90]), title('elevation (degrees)')
subplot(4,1,3), imagesc(10*log10(analysis.energy{1})), colorbar, axis xy, title('energy (dB)')
subplot(4,1,4), imagesc(analysis.diff{1}), colorbar, axis xy, caxis([0 1]), title('diffuseness')
figure, plot(10*log10(analysis.sf_energy{1})), hold on
plot(10*log10(analysis.ndiff_energy{1})), hold on
plot(10*log10(analysis.diff_energy{1}))
title('energy (dB)'), grid on
legend('sound-field', 'non-diffuse', 'diffuse')
figure, plot(analysis.diff{1}(1,:)), title('diffuseness'), grid on, ylim([0 1])
% --- Diffuse input ---
[~, diff_dirs] = getTdesign(21); % approximate diffuse-field with 240 incoherent noise sources
shir = randn(pars.fs, size(diff_dirs,1)) * (sqrt(4*pi).*getRSH(pars.order, diff_dirs*180/pi)).';
[~,~,~,~,analysis] = HOSIRR(shir, pars);
% In this case, we would expect:
% - [azimuth elevation] should be random
% - diffuseness should be close to 1
% - diffuse energy should be similar to the input sound-field energy, and
% non-diffuse energy much lower than diffuse energy
figure, subplot(4,1,1), imagesc(analysis.azim{1}*180/pi), colorbar, axis xy, caxis([-180 180]), title('azimuth (degrees)')
subplot(4,1,2), imagesc(analysis.elev{1}*180/pi), colorbar, axis xy, caxis([-90 90]), title('elevation (degrees)')
subplot(4,1,3), imagesc(10*log10(analysis.energy{1})), colorbar, axis xy, title('energy (dB)')
subplot(4,1,4), imagesc(analysis.diff{1}), colorbar, axis xy, caxis([0 1]), title('diffuseness')
figure, plot(10*log10(analysis.sf_energy{1})), hold on
plot(10*log10(analysis.ndiff_energy{1})), hold on
plot(10*log10(analysis.diff_energy{1}))
title('energy (dB)'), grid on
legend('sound-field', 'non-diffuse', 'diffuse')
figure, plot(analysis.diff{1}(1,:)), title('diffuseness'), grid on, ylim([0 1])
clear pars
%% HO-SIRR CHECKS
pars.order = 3;
pars.fs = 48e3;
[~,dirs_rad] = getTdesign(2*(pars.order+1));
pars.ls_dirs_deg = dirs_rad*180/pi;
pars.multires_winsize = 256;
pars.multires_xovers = [];
pars.RENDER_DIFFUSE = 1;
pars.BROADBAND_FIRST_PEAK = 1;
pars.nBroadbandPeaks = 1;
pars.decorrelationType = 'phase'; % TODO plotting only correct with phase, as noise happens after
pars.BROADBAND_DIFFUSENESS = 1;
pars.maxDiffFreq_Hz = 3000;
pars.alpha_diff = 0.5;
pars.chOrdering = 'ACN';
pars.normScheme = 'N3D';
% --- Single plane-wave input ---
src_dir = [0 0]; % single pw
shir = randn(pars.fs, size(src_dir,1)) * (sqrt(4*pi).*getRSH(pars.order, src_dir)).';
[~,~,~,pars_out,analysis] = HOSIRR(shir, pars);
figure, grid on, hold on;
title('Single PW')
plot(10*log10(analysis.sf_energy{1}))
plot(10*log10(analysis.ndiff_energy{1}))
plot(10*log10(analysis.diff_energy{1}))
plot(10*log10(analysis.total_energy{1}))
ylabel('energy (dB)')
legend('sound-field', 'non-diffuse', 'diffuse', 'total')
% --- Three plane-wave input ---
src_dir = rad2deg(pars_out.sectorDirs([1, 5, 16], :)); % plane-waves landing in sectors: 1, 5, and 16
shir = randn(pars.fs, size(src_dir,1)) * (sqrt(4*pi).*getRSH(pars.order, src_dir)).';
[~,~,~,pars_out,analysis] = HOSIRR(shir, pars);
% In this case, for sectors (1,5,16) we would expect:
% - [azimuth elevation] should correspond to 'src_dir' for their respective sectors
% - These 3 sectors should have diffuseness values close to 0
for sectorIndex = [1,5,16]
figure, subplot(4,1,1), imagesc(analysis.azim{1}(:,:,sectorIndex)*180/pi)
colorbar, axis xy, caxis([-180 180]), title(['azimuth (degrees), sector: ' num2str(sectorIndex) ])
subplot(4,1,2), imagesc(analysis.elev{1}(:,:,sectorIndex)*180/pi)
colorbar, axis xy, caxis([-90 90]), title(['elevation (degrees), sector: ' num2str(sectorIndex) ])
subplot(4,1,3), imagesc(10*log10(analysis.energy{1}(:,:,sectorIndex))),
colorbar, axis xy, title(['energy (dB), sector: ' num2str(sectorIndex) ])
subplot(4,1,4), imagesc(analysis.diff{1}(:,:,sectorIndex))
colorbar, axis xy, caxis([0 1]), title(['diffuseness, sector: ' num2str(sectorIndex) ])
end
% Whereas, sectors (2,20) we should expect:
% - [azimuth elevation] should be more random
% - Higher diffuseness values
for sectorIndex = [2,20]
figure, subplot(4,1,1), imagesc(analysis.azim{1}(:,:,sectorIndex)*180/pi)
colorbar, axis xy, caxis([-180 180]), title(['azimuth (degrees), sector: ' num2str(sectorIndex) ])
subplot(4,1,2), imagesc(analysis.elev{1}(:,:,sectorIndex)*180/pi)
colorbar, axis xy, caxis([-90 90]), title(['elevation (degrees), sector: ' num2str(sectorIndex) ])
subplot(4,1,3), imagesc(10*log10(analysis.energy{1}(:,:,sectorIndex))),
colorbar, axis xy, title(['energy (dB), sector: ' num2str(sectorIndex) ])
subplot(4,1,4), imagesc(analysis.diff{1}(:,:,sectorIndex))
colorbar, axis xy, caxis([0 1]), title(['diffuseness, sector: ' num2str(sectorIndex) ])
end
% - Output non-diffuse energy should be similar to input sound-field
% energy, and also much higher than the diffuse energy
figure, grid on, hold on;
title('Three PWs')
plot(10*log10(analysis.sf_energy{1}))
plot(10*log10(analysis.ndiff_energy{1}))
plot(10*log10(analysis.diff_energy{1}))
plot(10*log10(analysis.total_energy{1}))
ylabel('energy (dB)')
legend('sound-field', 'non-diffuse', 'diffuse', 'total')
% --- Diffuse-field input ---
dur = 1; % in s
[~, diff_dirs] = getTdesign(21); % approximate diffuse-field with 240 incoherent noise sources
diff_in = randn(dur*pars.fs, size(diff_dirs,1)) * ...
sqrt(4*pi)*getRSH(pars.order, diff_dirs*180/pi).';
diff_in = randn(size(diff_in));
[~,~,~,pars_out,analysis] = HOSIRR(diff_in, pars);
figure, grid on, hold on;
title('Diffuse Field')
plot(10*log10(analysis.sf_energy{1}))
plot(10*log10(analysis.ndiff_energy{1}))
plot(10*log10(analysis.diff_energy{1}))
plot(10*log10(analysis.total_energy{1}))
ylabel('energy (dB)')
legend('sound-field', 'non-diffuse', 'diffuse', 'total')
clear pars
%% HO-SIRR_orderPerBand CHECKS
pars.order = 4;
pars.freqLimits = [375 1e3 2e3];
pars.procOrders = [1 2 3 4];
%pars.procOrders = [4 4 4 4 4 4 4];
%pars.procOrders = [1 1 1 1 1 1 1];
%pars.freqLimits = [ 500 6000];
%pars.procOrders = [3 3 3];
pars.fs = 48e3;
[~,dirs_rad] = getTdesign(2*(pars.order+1));
pars.ls_dirs_deg = dirs_rad*180/pi;
pars.multires_winsize = 128;
pars.multires_xovers = [];
pars.RENDER_DIFFUSE = 1;
pars.BROADBAND_FIRST_PEAK = 1;
pars.nBroadbandPeaks = 1;
pars.decorrelationType = 'noise';
pars.BROADBAND_DIFFUSENESS = 1;
pars.maxDiffFreq_Hz = 3000;
pars.alpha_diff = 0.5;
pars.chOrdering = 'ACN';
pars.normScheme = 'N3D';
% % --- Single plane-wave input ---
% src_dir = [-45 -45]; % try adding more than 1 plane-wave, to see the first-order analysis break
% shir = randn(pars.fs, size(src_dir,1)) * (sqrt(4*pi).*getRSH(pars.order, src_dir)).';
% [~,~,~,~,analysis] = HOSIRR_orderPerBand(shir, pars, 0);
%
% % In this case, we would expect:
% % - [azimuth elevation] should correspond to 'src_dir'
% % - diffuseness should be 0
% % - non-diffuse energy should be similar to input sound-field energy, and
% % diffuse energy ~0
% sectorIndex = 1;
% figure, subplot(4,1,1), imagesc(analysis.azim{1}(:,:,sectorIndex)*180/pi), colorbar, axis xy, caxis([-180 180]), title('azimuth (degrees)')
% subplot(4,1,2), imagesc(analysis.elev{1}(:,:,sectorIndex)*180/pi), colorbar, axis xy, caxis([-90 90]), title('elevation (degrees)')
% subplot(4,1,3), imagesc(10*log10(analysis.energy{1}(:,:,sectorIndex))), colorbar, axis xy, title('energy (dB)')
% subplot(4,1,4), imagesc(analysis.diff{1}(:,:,sectorIndex)), colorbar, axis xy, caxis([0 1]), title('diffuseness')
% figure, plot(10*log10(analysis.sf_energy{1}(:,:,sectorIndex))), hold on
% plot(10*log10(analysis.ndiff_energy{1}(:,:,sectorIndex))), hold on
% plot(10*log10(analysis.diff_energy{1}(:,:,sectorIndex)))
% title('energy (dB)'), grid on, ylim([-40 20])
% legend('sound-field', 'non-diffuse', 'diffuse')
% % %figure, plot(analysis.diff{1}(,:)), title('diffuseness'), grid on, ylim([0 1])
%
%--- Diffuse input ---
%src_dir = [-45 -45]; % try adding more than 1 plane-wave, to see the first-order analysis break
%shir = randn(pars.fs, size(src_dir,1)) * (sqrt(4*pi).*getRSH(pars.order, src_dir)).';
[~, diff_dirs] = getTdesign(21); % approximate diffuse-field with 240 incoherent noise sources
shir = randn(pars.fs/4, size(diff_dirs,1)) * (sqrt(4*pi).*getRSH(pars.order, diff_dirs*180/pi)).';
[sirr,sirr_ndiff,sirr_diff,~,analysis] = HOSIRR_orderPerBand(shir, pars); %
fs = 48e3;
sirr_diff_fft = fft(sirr_diff, 256);
figure,semilogx(0:fs/256: fs/2-fs/256, mean(10*log10(abs(sirr_diff_fft(1:end/2,:).^2)),2)), xlim([200 20e3])
hold on
sirr_ndiff_fft = fft(sirr_ndiff, 256);
semilogx(0:fs/256: fs/2-fs/256, mean(10*log10(abs(sirr_ndiff_fft(1:end/2,:).^2)),2)), xlim([200 20e3])
hold on
shir_fft = fft(shir, 256);
semilogx(0:fs/256: fs/2-fs/256, mean(10*log10(abs(shir_fft(1:end/2,:).^2)),2)./25), xlim([200 20e3])
hold on
semilogx(0:fs/256: fs/2-fs/256,mean(10*log10(abs(sirr_diff_fft(1:end/2,:).^2)+abs(sirr_ndiff_fft(1:end/2,:).^2)),2)), xlim([200 20e3])
legend('diff', 'ndiff', 'sf', 'total')
% %--- Single plane-wave input ---
% src_dir = [-45 -45]; % try adding more than 1 plane-wave, to see the first-order analysis break
% shir = randn(pars.fs, size(src_dir,1)) * (sqrt(4*pi).*getRSH(pars.order, src_dir)).';
% [~,~,~,~,analysis] = HOSIRR_orderPerBand(shir, pars, 0); % _orderPerBand
% In this case, we would expect:
% - [azimuth elevation] should be random
% - diffuseness should be close to 1
% - diffuse energy should be similar to the input sound-field energy, and
% non-diffuse energy much lower than diffuse energy
% figure, subplot(4,1,1), imagesc(analysis.azim{1}(:,:,sectorIndex)*180/pi), colorbar, axis xy, caxis([-180 180]), title('azimuth (degrees)')
% subplot(4,1,2), imagesc(analysis.elev{1}(:,:,sectorIndex)*180/pi), colorbar, axis xy, caxis([-90 90]), title('elevation (degrees)')
% subplot(4,1,3), imagesc(10*log10(analysis.energy{1}(:,:,sectorIndex))), colorbar, axis xy, title('energy (dB)')
% subplot(4,1,4), imagesc(analysis.diff{1}(:,:,sectorIndex)), colorbar, axis xy, caxis([0 1]), title('diffuseness')
% figure, plot(10*log10(analysis.sf_energy{1}(:,:,sectorIndex))), hold on
% plot(10*log10(analysis.ndiff_energy{1}(:,:,sectorIndex))), hold on
% plot(10*log10(analysis.diff_energy{1}(:,:,sectorIndex)))
% title('energy (dB)'), grid on, ylim([-40 20])
% legend('sound-field', 'non-diffuse', 'diffuse')
% %figure, plot(analysis.diff{1}(1,:)), title('diffuseness'), grid on, ylim([0 1])
clear pars