Mercurial > hg > dcase2013_sc_rnh
diff README.md @ 0:1b2ac32f7152
import code sent by Gerard Roma
author | Dan Stowell <dan.stowell@elec.qmul.ac.uk> |
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date | Fri, 01 Nov 2013 08:48:19 +0000 |
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children | def2b3fa1450 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/README.md Fri Nov 01 08:48:19 2013 +0000 @@ -0,0 +1,23 @@ +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. +