Contents

Example usage of SDM toolbox for analysis, synthesis, and multi-channel reproduction.

The data are room impulse responses from left and right channel of a a home theater system.

% SDM toolbox : demoCustomSetups
% Sakari Tervo & Jukka Pätynen, Aalto University, 2016
% Sakari.Tervo@aalto.fi and Jukka.Patynen@aalto.fi

Load the impulse response and the source signal

1s long impulse response measured at 192 kHz IRs contains left and right channels loudspeakers are large size active loudspeakers ( Genelec something ) Distance to loudspeakers about > 2 meters

% Download a spatial room impulse response
ir_filename = 'IR_another_living_room';
if ~exist([ir_filename '.mat'],'file')
     disp(['Downloading an example IR ' ir_filename ' from the database.'])
    url_ir = ['https://mediatech.aalto.fi/~tervos/' ir_filename '.mat'];
    websave([ir_filename '.mat'],url_ir);
end
% Download a stereofile (originally from free music archive)
audio_filename = 'paper_navy_swan_song';
if ~exist([audio_filename ,'.mp3'],'file')
    disp('Downloading an example music file from free music archive.')
    url_of_the_song = 'https://mediatech.aalto.fi/~tervos/demoJAES/samples/Song1_CR1.mp3';
    outfilename = websave([audio_filename '.mp3'],url_of_the_song);
end

% If websave not supported, you have to download IRs and source signals
% manually from the urls given below
% 'https://mediatech.aalto.fi/~tervos/IR_another_living_room.mat'
% 'https://mediatech.aalto.fi/~tervos/demoJAES/samples/Song1_CR1.mp3'

Downloading an example IR IR_another_living_room from the database.

Read the data

Read impulse response

load([ir_filename '.mat'])
% Read stereo signal
S = audioread([audio_filename '.mp3']);

Create SDM struct for analysis with a set of parameters

Parameters required for the calculation load default values for all parameters Set your own values for some parameters

Radius = 0.025/2;   % Radius of the microphones [m]
micArray = ...      % Microphone positions in Cartesian coordinates [m]
    [Radius 0 0;
    -Radius 0 0;
    0 Radius 0;
    0 -Radius 0;
    0 0 Radius;
    0 0 -Radius];
c = 345;            % Assumed speed of sound [m/s]
fs = 192e3;         % Sampling frequency [Hz]
winLen = 0;         % Use the minimum frame size [samples]
parframes = 2^14;   % Number of parallel frames in the processing [.]
showMicArray = true;% Show the applied microphone array geometry

a = createSDMStruct('micLocs',micArray,'winLen',winLen,...
    'c',c,'fs',fs,'parFrames',parframes,...
    'showArray',showMicArray);
% struct a can also be modified later for other parameters

User-defined SDM Settings are used :
           fs: 192000
            c: 345
       winLen: 0
    parFrames: 16384
    showArray: 1
      micLocs: [6x3 double]

Calculate the SDM coefficients

Solve the DOA of each time window assuming wide band reflections, white noise in the sensors and far-field (plane wave propagation model inside the array)

DOA{1} = SDMPar(ir_left, a);

% Here we are using the top-most microphone as the estimate for the
% pressure in the center of the array
P{1} = ir_left(:,5);

% Same for right channel
a.showArray = false; % Don't show the microphone array again
DOA{2} = SDMPar(ir_right, a);
P{2} = ir_right(:,5);

Started SDM processing
Using frame size 36
Ended SDM processing in 5.9826 seconds.
Started SDM processing
Using frame size 36
Ended SDM processing in 5.7805 seconds.

Create visualization struct with the given parameters

plane = 'lateral'; % visualization plane
DOI = 'backward'; % direction of integration
plotStyle = 'fill'; % plotting style, fill or line
name = 'Home Theater'; % title
res = 1; % DOA resolution of the polar response
t = [0 2 5 20]; % time indices of interest
colors = parula(length(t)); % colormap
dBSpacing = -12:6:0; % resolution of the dB grid
DOASpacing = 30; % resolution of the DOA grid
lw = zeros(size(t)); % no line
showGrid = true; % grid in the visualization
dBDynamics = 42; % dynamics in dB

Create a struct for visualization with a set of parameters

v = createVisualizationStruct('fs',fs,...
    'Plane',plane,'DOI',DOI,'name',name,'res',res,...
    'dBSpacing',dBSpacing,'Colors',colors,'DOASpacing',DOASpacing,...
    'linewidth',lw,'Showgrid',showGrid,'PlotStyle',plotStyle,...
    't',t); % Load default values
% struct v can also be modified later for other parameters
% e.g. v.t = [0 5 10 200]
% For visualization purposes, set the text interpreter to latex
set(0,'DefaultTextInterpreter','latex')

createVisualizationStruct : User-defined visualization settings are used :
              fs: 192000
           plane: 'lateral'
             DOI: 'backward'
       plotStyle: 'fill'
            name: 'Home Theater'
             res: 1
               t: [0 2 5 20]
          colors: [4x3 double]
       dBSpacing: [-12 -6 0]
      DOASpacing: 30
      dBDynamics: 45
       linewidth: [0 0 0 0]
        showGrid: 1
    smoothMethod: 'average'
       smoothRes: 3

Draw analysis parameters and impulse responses

parameterVisualization(P, v);

Started visualization of parameters.
Ended visualization of parameters in 0.16714 seconds.

Draw time-frequency visualization

Drawing only the lateral plane

timeFrequencyVisualization(P, v)

Started time-frequency visualization.
Ended time-frequency visualization in 7.2408 seconds.

Draw the spatiotemporal visualization

spatioTemporalVisualization(P, DOA, v)

Started spatio-temporal visualization.
Ended spatio-temporal visualization in 2.3151 seconds.

Create synthesis struct with the given parameters

Using 5.0 loudpseaker setup with uneven distance for the loudspeakers

lspLocs(:,1:2) = ...
    [0 0
    -30 0
    +30 0
    -110 0
    +110 0];
lspLocs(:,3) = [2 2.5 2 1.5 1.5]; % Distances are not equal

s = createSynthesisStruct('lspLocs',lspLocs,'snfft',length(P{1}) ,...
    'ShowArray',true,'fs',fs,'c',343,...
    'LFEchannel',[]);
% struct s can also be modified later for other parameters

createSynthesisStruct:  No LFE channel
createSynthesisStruct: User-defined settings are :
                fs: 192000
                 c: 343
    dimensionality: 3
             snfft: 192000
         showArray: 1
            Radius: 2
         LFEcutOff: 80
          Binaural: 0
           HRTFset: 3
                 g: [384000x10 double]
                f1: [10x1 double]
               Blp: [2.2371e-09 6.7112e-09 6.7112e-09 2.2371e-09]
               Alp: [1 -2.9948 2.9895 -0.9948]
               Bhp: [0.9974 -2.9922 2.9922 -0.9974]
               Ahp: [1 -2.9948 2.9895 -0.9948]
           lspLocs: [5x3 double]
        LFEchannel: []

Synthesize the spatial impulse response with NLS

H = cell(1,2);
for channel = 1:2
    H{channel} = synthesizeSDMCoeffs(P{channel},DOA{channel}, s);
    s.showArray = false; % Don't show the loudspeaker array again
end

Started synthesizing
equalizeNLS: processing frame : 1000
equalizeNLS: processing frame : 1000
equalizeNLS: processing frame : 2000
equalizeNLS: processing frame : 3000
Ended synthesizing in 5.0347 seconds.
Started synthesizing
equalizeNLS: processing frame : 1000
equalizeNLS: processing frame : 1000
equalizeNLS: processing frame : 2000
equalizeNLS: processing frame : 3000
Ended synthesizing in 4.7818 seconds.

Convolution with the source signal

Choose 10 seconds and resample

Sr = resample(S(1:44.e3*10,:),480,441);
numOfLsp = size(s.lspLocs,1);
Y = zeros(size(Sr,1),numOfLsp);

% Resample H to 48e3 [Hz] sampling frequency for auralization
H{1} = resample(H{1},1,4);
H{2} = resample(H{2},1,4);

for channel = 1:2;
    for lsp = 1:numOfLsp
        % Convolution with Matlab's overlap-add
        Y(:,lsp) = Y(:,lsp) +  fftfilt(H{channel}(:,lsp),Sr(:,channel));
    end
end
% Y contains the auralization of the spatial IRs with S

Saving the auralization to a file

Save the file to the default folder with a custom filename. Save the result as wav, as wav can handle upto 256 channels.

disp('Started Auralization');tic
savename = [ir_filename '_' audio_filename '.wav'];
if max(abs(Y(:))) > 1
    Y = Y/max(abs(Y(:)))*.9;
    disp('Sound normalized, since otherwise would have clipped')
end
disp(['Ended Auralization in ' num2str(toc) ' seconds.'])
disp('Started writing the auralization wav file')
disp([savename  ' on the disk.']);tic
audiowrite(savename,Y,s.fs/4)
info = audioinfo(savename);
disp('Wrote ... ');
disp(info)
disp(['... in ' num2str(toc) ' seconds'])

Started Auralization
Sound normalized, since otherwise would have clipped
Ended Auralization in 0.021173 seconds.
Started writing the auralization wav file
IR_another_living_room_paper_navy_swan_song.wav on the disk.
Wrote ... 
             Filename: 'C:\Users\tervos\Desktop\SDMtoolbox\release\IR_anot...'
    CompressionMethod: 'Uncompressed'
          NumChannels: 5
           SampleRate: 48000
         TotalSamples: 478912
             Duration: 9.9773
                Title: []
              Comment: []
               Artist: []
        BitsPerSample: 16

... in 0.10532 seconds

Playback using Matlab or other applications

% <--- EOF demoBinauralRendering.m

Published with MATLAB® R2015b