Non-negative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation

Mikkel N. Schmidt, Morten Mørup

AbstractWe present a novel method for blind separation of instruments
in polyphonic music based on a non-negative matrix factor 2-D
deconvolution algorithm. Using a model which is convolutive in both
time and frequency we factorize a spectrogram representation of music
into components corresponding to individual instruments. Based on
this factorization we separate the instruments using spectrogram masking.
The proposed algorithm has applications in computational auditory
scene analysis, music information retrieval, and automatic music transcription.
TypeMisc [Presentation]
Year2006    Month March
PublisherTechnical University of Denmark
Electronic version(s)[zip]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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