Consistent ICA: Determined BSS Meets Spectrogram Consistency

Kohei Yatabe*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


Multichannel audio blind source separation (BSS) in the determined situation (the number of microphones is equal to that of the sources), or determined BSS, is performed by multichannel linear filtering in the time-frequency domain to handle the convolutive mixing process. Ordinarily, the filter treats each frequency independently, which causes the well-known permutation problem, i.e., the problem of how to align the frequency-wise filters so that each separated component is correctly assigned to the corresponding sources. In this paper, it is shown that the general property of the time-frequency-domain representation called spectrogram consistency can be an assistant for solving the permutation problem.

Original languageEnglish
Article number9099086
Pages (from-to)870-874
Number of pages5
JournalIEEE Signal Processing Letters
Publication statusPublished - 2020


  • Linear source separation
  • demixing filter estimation
  • independent component analysis (ICA)
  • multichannel acoustic signal processing
  • short-time Fourier transform

ASJC Scopus subject areas

  • Signal Processing
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Consistent ICA: Determined BSS Meets Spectrogram Consistency'. Together they form a unique fingerprint.

Cite this