• DocumentCode
    1783870
  • Title

    On-Line Nonnegative Matrix Factorization for Music Signal Separation

  • Author

    Seokjin Lee

  • Author_Institution
    Dept. of Electron. Eng., Kyonggi Univ., Suwon, South Korea
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    566
  • Lastpage
    569
  • Abstract
    Nonnegative matrix factorization (NMF) is widely used in audio source analysis and audio signal separation systems. However, conventional NMF algorithms cannot be used on-line because they process all available data at once. On-line NMF algorithms have been developed recently, but most of them cannot be applied to audio systems. In this paper, an on-line NMF algorithm, based on multiple normal equations and recursive solutions, is developed, and the developed algorithm is extended to more enhanced algorithm and more simplified algorithm. An on-line monaural ambient signal separation system is presented to demonstrate the applicability of the proposed algorithm.
  • Keywords
    audio signal processing; matrix decomposition; music; source separation; audio signal separation systems; audio source analysis; multiple normal equations; music signal separation; online NMF algorithms; online nonnegative matrix factorization; recursive solutions; Approximation algorithms; Equations; Mathematical model; Signal processing algorithms; Source separation; Spectrogram; audio source separation; nonnegative matrix factorization; on-line audio signal processing; recursive least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-5389-9
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2014.146
  • Filename
    6998392