论文信息 - Multi-resolution signal decomposition with time-domain spectrogram factorization

Multi-resolution signal decomposition with time-domain spectrogram factorization

This paper proposes a novel framework that makes it possible to realize non-negative matrix factorization (NMF)-like signal decompositions in the time-domain. This new formulation also allows for an extension to multi-resolution signal decomposition, which was not possible with the conventional NMF framework.

Hirokazu Kameoka

[1] P. Smaragdis,et al. Non-negative matrix factorization for polyphonic music transcription , 2003, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684).

[2] Nancy Bertin,et al. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis , 2009, Neural Computation.

[3] Tuomas Virtanen,et al. Sound Source Separation Using Sparse Coding with Temporal Continuity Objective , 2003, ICMC.

[4] Jonathan Le Roux,et al. FAST SIGNAL RECONSTRUCTION FROM MAGNITUDE STFT SPECTROGRAM BASED ON SPECTROGRAM CONSISTENCY , 2010 .

[5] Irfan A. Essa,et al. Phase-Aware Non-negative Spectrogram Factorization , 2007, ICA.

[6] 水野賀文,et al. Selection of the number of basis vectors in non-negative matrix factorization for music transcription , 2012 .

[7] Hirokazu Kameoka,et al. Complex NMF: A new sparse representation for acoustic signals , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.