Time-dependent recursive regularization for sound source separation

Tien Ming Wang, Ta Chun Chen, Yin Lin Chen, Alvin W.Y. Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Real world music pieces often present time-varying spectral shapes that normally lead to time, amplitude or frequency modulations in a phrase. Whereasthe standard Non-negative Matrix Factorization (NMF) assumes fixed spectral bases, an extension is proposed where the temporalactivations, the coefficients of the decomposition on the spectralatom basis, become frequency dependent In this paper, a frame-based recursive regularization method is proposed for sound source separation applications. System of equations evolves when a new frame is added and an old frame is dropped in order to track varying characteristics of some instruments. The amount of required matrix inversions is greatly reduced with the proposed work. This work is also compared with a time-dependent NMF method to show the superior performance on the signals with glissando and vibrato effects. Objective measure is applied as well.

Original languageEnglish
Title of host publicationICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings
Pages235-240
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012 - Shanghai, China
Duration: 2012 Jul 162012 Jul 18

Publication series

NameICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings

Other

Other2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012
CountryChina
CityShanghai
Period12-07-1612-07-18

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All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Computer Vision and Pattern Recognition

Cite this

Wang, T. M., Chen, T. C., Chen, Y. L., & Su, A. W. Y. (2012). Time-dependent recursive regularization for sound source separation. In ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings (pp. 235-240). [6376618] (ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings). https://doi.org/10.1109/ICALIP.2012.6376618