Mercurial > hg > smallbox
comparison examples/Automatic Music Transcription/SMALL_AMT_DL_test.m @ 128:8e660fd14774 ivand_dev
Feature 186
author | Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Mon, 13 Jun 2011 14:55:45 +0100 |
parents | dab78a3598b6 |
children | f42aa8bcb82f |
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126:db5a7fe1a404 | 128:8e660fd14774 |
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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 |