dan@0: 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/)
dan@0: 
dan@0: The code has been tested mainly on Matlab2012 on OSX
dan@0: Required libraries: rastamat and libsvm
dan@0: 
dan@0: The implemented approach is described in:
dan@0: 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.
dan@0: 
dan@0: The main files are:
dan@0: 
dan@0: * classify_scenes.m
dan@0: * analyze_files.m
dan@0: * RQA.m
dan@0: 
dan@0: 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
dan@0: 
dan@0: Two submissions were sent to the challenge, one uses hardcoded SVM parameters, the other does grid search:
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dan@0: classify_scenes(tmp_path, train_file,test_file, output_file, 0) % use hardcoded parameters for SVM  
dan@0: classify_scenes(tmp_path, train_file,test_file, output_file, 1) % use grid search 
dan@0: 
dan@0: The temp_path is used to store features.
dan@0: