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Abstract: We present a novel method for automatic transcription of polyphonic music based on a recently published algorithm for non-negative matrix factor 2-D deconvolution. The method works by simultaneously estimating a time-frequency model for an instrument and a pattern corresponding to the notes which are played based on a log-frequency spectrogram of the music.
- See also:
Sparse Non-negative Matrix Factor 2-D Deconvolution- Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation
- Files:
imm4100.pdf
- Cite:
- Mikkel N. Schmidt and Morten Mørup, Sparse Non-negative Matrix Factor 2-D Deconvolution for Automatic Transcription of Polyphonic Music, Technical University of Denmark, 2006
- BibTeX:
- @article{schmidt06musictranscription,
title = "Sparse Non-negative Matrix Factor 2-D Deconvolution for Automatic Transcription of Polyphonic Music",
author = "Mikkel N. Schmidt and Morten Mørup",
institution = "Technical University of Denmark",
month = "may",
year = "2006"
}
Mikkel N. Schmidt | Technical University of Denmark | Email: mns(a)imm.dtu.dk