Conference paper · Book chapter
Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation
Abstract
We 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.
| Language: | English |
|---|---|
| Publisher: | Springer Berlin Heidelberg |
| Year: | 2006 |
| Pages: | 700-707 |
| Proceedings: | Source Separation and Independent Component Analysis, International Conference on (ICA) |
| Journal subtitle: | Source Separation and Independent Component Analysis, International Conference on (ica) |
| ISBN: | 3540326308 , 3540326316 , 9783540326304 and 9783540326311 |
| ISSN: | 16113349 and 03029743 |
| Types: | Conference paper and Book chapter |
| DOI: | 10.1007/11679363_87 |
| ORCIDs: | Schmidt, Mikkel N. and Mørup, Morten |
