diff README.md @ 0:1b2ac32f7152

import code sent by Gerard Roma
author Dan Stowell <dan.stowell@elec.qmul.ac.uk>
date Fri, 01 Nov 2013 08:48:19 +0000
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+The files in this folder represent our submission for the Scene Classificatoin task of the IEEE D-CASE AASP Challenge (http://c4dm.eecs.qmul.ac.uk/sceneseventschallenge/)
+
+The code has been tested mainly on Matlab2012 on OSX
+Required libraries: rastamat and libsvm
+
+The implemented approach is described in:
+G. Roma, W. Nogueira, P.Herrera, _Recurrence Quantification Analysis Features for Environmental Sound Recognition_. Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. New Paltz, USA 2013.
+
+The main files are:
+
+* classify_scenes.m
+* analyze_files.m
+* RQA.m
+
+The rest of matlab files can be used to test the code. Some of the files are taken from: https://soundsoftware.ac.uk/projects/aasp-d-case-metrics
+
+Two submissions were sent to the challenge, one uses hardcoded SVM parameters, the other does grid search:
+
+classify_scenes(tmp_path, train_file,test_file, output_file, 0) % use hardcoded parameters for SVM  
+classify_scenes(tmp_path, train_file,test_file, output_file, 1) % use grid search 
+
+The temp_path is used to store features.
+