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comparison examples/Automatic Music Transcription/SMALL_AMT_DL_test.m @ 128:8e660fd14774 ivand_dev

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Feature 186
author Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk>
date Mon, 13 Jun 2011 14:55:45 +0100
parents dab78a3598b6
children f42aa8bcb82f
comparison
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126:db5a7fe1a404 128:8e660fd14774
1 %% DICTIONARY LEARNING FOR AUTOMATIC MUSIC TRANSCRIPTION EXAMPLE 1 1 %% Dictionary Learning for Automatic Music Transcription - KSVD vs SPAMS
2 % 2 %
3 % *WARNING!* You should have SPAMS in your search path in order for this
4 % script to work.Due to licensing issues SPAMS can not be automatically
5 % provided in SMALLbox (http://www.di.ens.fr/willow/SPAMS/downloads.html).
6 %
3 % This file contains an example of how SMALLbox can be used to test diferent 7 % This file contains an example of how SMALLbox can be used to test diferent
4 % dictionary learning techniques in Automatic Music Transcription problem. 8 % dictionary learning techniques in Automatic Music Transcription problem.
5 % It calls generateAMT_Learning_Problem that will let you to choose midi, 9 % It calls generateAMT_Learning_Problem that will let you to choose midi,
6 % wave or mat file to be transcribe. If file is midi it will be first 10 % wave or mat file to be transcribe. If file is midi it will be first
7 % converted to wave and original midi file will be used for comparison with 11 % converted to wave and original midi file will be used for comparison with