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Using Oracle Analysis for Decomposition-Based Automatic Music Transcription

O’Hanlon, K, Nagano, H and Plumbley, MD (2013) Using Oracle Analysis for Decomposition-Based Automatic Music Transcription In: From Sounds to Music and Emotions: 9th International Symposium, CMMR 2012, London, UK, June 19-22, 2012, Revised Selected Papers, ? - ?.

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One approach to Automatic Music Transcription (AMT) is to decompose a spectrogram with a dictionary matrix that contains a pitch-labelled note spectrum atom in each column. AMT performance is typically measured using frame-based comparison, while an alternative perspective is to use an event-based analysis. We have previously proposed an AMT system, based on the use of structured sparse representations. The method is described and experimental results are given, which are seen to be promising. An inspection of the graphical AMT output known as a piano roll may lead one to think that the performance may be slightly better than is suggested by the AMT metrics used. This leads us to perform an oracle analysis of the AMT system, with some interesting outcomes which may have implications for decomposition based AMT in general.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Surrey research (other units)
Authors :
O’Hanlon, K
Nagano, H
Date : 2013
DOI : 10.1007/978-3-642-41248-6_19
Contributors :
Aramaki, M
Barthet, M
Kronland-Martinet, R
Ystad, S
publisherSpringer Berlin Heidelberg,
Uncontrolled Keywords : Automatic Music Transcription, Sparse representations, Oracle analysis
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:20
Last Modified : 23 Jan 2020 18:29

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