NDLI: Nonnegative matrix partial co-factorization for drum source separation

Content Provider	IEEE Xplore Digital Library
Author	Jiho Yoo Minje Kim Kyeongok Kang Seungjin Choi
Copyright Year	2010
Description	Author affiliation: Electronics and Telecommunications Research Institute (ETRI), Korea (Minje Kim; Kyeongok Kang) \|\| Department of Computer Science, POSTECH, Korea (Jiho Yoo; Seungjin Choi)
Abstract	We address a problem of separating drums from polyphonic music containing various pitched instruments as well as drums. Nonnegative matrix factorization (NMF) was successfully applied to spectrograms of music to learn basis vectors, followed by support vector machine (SVM) to classify basis vectors into ones associated with drums (rhythmic source) only and pitched instruments (harmonic sources). Basis vectors associated with pitched instruments are used to reconstruct drum-eliminated music. However, it is cumbersome to construct a training set for pitched instruments since various instruments are involved. In this paper, we propose a method which only incorporates prior knowledge on drums, not requiring such training sets of pitched instruments. To this end, we present nonnegative matrix partial co-factorization (NMPCF) where the target matrix (spectrograms of music) and drum-only-matrix (collected from various drums a priori) are simultaneously decomposed, sharing some factor matrix partially, to force some portion of basis vectors to be associated with drums only. We develop a simple multiplicative algorithm for NMPCF and show its usefulness empirically, with numerical experiments on real-world music signals.
Starting Page	1942
Ending Page	1945
File Size	152593
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495305
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source separation Matrix decomposition Instruments Multiple signal classification Support vector machines Support vector machine classification Spectrogram Signal processing Image reconstruction Collaboration nonnegative matrix factorization Drum source separation matrix co-factorization music information processing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation

Timbre replacement of harmonic and drum components for music audio signals

Single channel speech music separation using nonnegative matrix factorization and spectral masks

Robust music signal separation based on supervised nonnegative matrix factorization with prevention of basis sharing

Superresolution-based stereo signal separation via supervised nonnegative matrix factorization

Classifying NMF components based on vector similarity for speech and music separation

Hybrid multichannel signal separation using supervised nonnegative matrix factorization with spectrogram restoration

Text-informed audio source separation using nonnegative matrix partial co-factorization

Transcription and Separation of Drum Signals From Polyphonic Music

Nonnegative matrix partial co-factorization for drum source separation

Similar Documents

Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation

Timbre replacement of harmonic and drum components for music audio signals

Single channel speech music separation using nonnegative matrix factorization and spectral masks

Robust music signal separation based on supervised nonnegative matrix factorization with prevention of basis sharing

Superresolution-based stereo signal separation via supervised nonnegative matrix factorization

Classifying NMF components based on vector similarity for speech and music separation

Hybrid multichannel signal separation using supervised nonnegative matrix factorization with spectrogram restoration

Text-informed audio source separation using nonnegative matrix partial co-factorization

Transcription and Separation of Drum Signals From Polyphonic Music

Nonnegative matrix partial co-factorization for drum source separation