view matlab/MATLAB-Chroma-Toolbox_2.0/test_convert_pitch_to_chroma.m @ 60:1ea2aed23d4a tip

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% Name: test_convert_pitch_to_chroma.m
% Date of Revision: 2011-03
% Programmer: Meinard Mueller, Sebastian Ewert
%
% Description: 
% * Computes chroma features (f_chroma) from pitch features (f_pitch) 
%
% Reference: 
% Details on the feature computation can be found in the following book:
%
% Meinard Mueller: Information Retrieval for Music and Motion,
%                  Springer 2007
%
% License:
%     This file is part of 'Chroma Toolbox'.
% 
%     'Chroma Toolbox' 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 2 of the License, or
%     (at your option) any later version.
% 
%     'Chroma Toolbox' 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 'Chroma Toolbox'. If not, see <http://www.gnu.org/licenses/>.
% 
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clear;
close all hidden;

directory = 'data_feature/';


%filename = 'Bach_BWV988-Aria-Measures1-4_Meinard_fast.wav';
%filename = 'Burgmueller_Op100-02-FirstPart_Meinard_SE.wav';
%filename = 'Systematic_Cadence-C-Major_Meinard_portato.wav';
%filename = 'Systematic_Cadence-C-Major_Meinard_staccato.wav';
%filename = 'Systematic_Scale-C-Major_Meinard_fast.wav';
%filename = 'Systematic_Scale-C-Major_Meinard_middle.wav';
filename = 'Systematic_Chord-C-Major_Eight-Instruments.wav';

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% Loads pitch features (f_pitch) and computes chroma features (f_chroma)
%
% Note: feature filename is specified by WAV filename
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

win_len = 4410;
filename_pitch = strcat(filename(1:end-4),'_pitch_',num2str(win_len));
load(strcat(directory,filename_pitch)); % load f_pitch and sideinfo;

parameter.vis = 0;
%parameter.save = 1;
%parameter.save_dir = 'data_feature/';
%parameter.save_filename = strcat(sideinfo.wav.filename(1:length(sideinfo.wav.filename)-4));
[f_chroma_norm,sideinfo] = pitch_to_chroma(f_pitch,parameter,sideinfo);

parameter.applyLogCompr = 1;
parameter.factorLogCompr = 100;
f_logchroma_norm = pitch_to_chroma(f_pitch,parameter,sideinfo);

parameter.winLenSmooth = 21;
parameter.downsampSmooth = 5;
f_logchroma_normSmoothed = pitch_to_chroma(f_pitch,parameter,sideinfo);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Visualization of chromagrams (f_chroma_norm,f_chroma)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

parameter.featureRate = sideinfo.pitch.featureRate;
parameter.xlabel = 'Time [Seconds]';
parameter.title = 'Normalized chromagram';
visualizeChroma(f_chroma_norm,parameter);

parameter.title = 'Normalized log-compressed chromagram';
visualizeChroma(f_logchroma_norm,parameter);

parameter.title = 'Normalized log-compressed smoothed chromagram';
visualizeChroma(f_logchroma_normSmoothed,parameter);