NDLI: Drum transcription using partially fixed non-negative matrix factorization

Content Provider	IEEE Xplore Digital Library
Author	Chih-Wei Wu Lerch, A.
Copyright Year	2015
Description	Author affiliation: Center for Music Technol., Georgia Inst. of Technol., Atlanta, GA, USA (Chih-Wei Wu; Lerch, A.)
Abstract	In this paper, a drum transcription algorithm using partially fixed non-negative matrix factorization is presented. The proposed method allows users to identify percussive events in complex mixtures with a minimal training set. The algorithm decomposes the music signal into two parts: percussive part with pre-defined drum templates and harmonic part with undefined entries. The harmonic part is able to adapt to the music content, allowing the algorithm to work in polyphonic mixtures. Drum event times can be simply picked from the percussive activation matrix with onset detection. The system is efficient and robust even with a minimal training set. The recognition rates for the ENST dataset vary from 56.7 to 78.9% for three percussive instruments extracted from polyphonic music.
Starting Page	1281
Ending Page	1285
File Size	110912
Page Count	5
File Format	PDF
ISBN	9780992862633
ISSN	20761465
DOI	10.1109/EUSIPCO.2015.7362590
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-31
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	Training Dictionaries Drum Transcription Music NMF MIR Harmonic analysis Multiple signal classification Matrix decomposition High definition video Automatic Music Transcription
Content Type	Text
Resource Type	Article

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