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Communication Dans Un Congrès Année : 2007

Blind signal decompositions for automatic transcription of polyphonic music: NMF and K-SVD on the benchmark

Résumé

This paper investigates on the behavior of two blind signal decomposition algorithms, non negative matrix factorization (NMF) and non negative K-SVD (NKSVD), in a polyphonic music transcription task. State-of-the-art transcription systems are based on a frame-byframe, low-level approach; blind systems could be an alternative to them. Two raw but effective audio-to-MIDI systems are proposed and evaluated. Performances are similar, but in favor of NMF, which is more robust to initialization, choice of the order and computationnally less costly.
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Dates et versions

hal-00945282 , version 1 (24-03-2014)

Identifiants

  • HAL Id : hal-00945282 , version 1

Citer

Nancy Bertin, Roland Badeau, Gael Richard. Blind signal decompositions for automatic transcription of polyphonic music: NMF and K-SVD on the benchmark. Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2007, Honolulu, Hawaii, United States. pp.65--68. ⟨hal-00945282⟩
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