Estimating the number of sources using independent component analysis

Hiroshi Sawada, Ryo Mukai, Shoko Araki, Shoji Makino

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


A new approach for estimating the number of sources that employs independent component analysis (ICA) is discussed. Estimating the number of sources provides information for signal processing applications such as blind source separation (BSS) in the frequency domain. The new method can identify a noise component that includes reverberations by calculating the correlation of the envelopes. The results show that the characteristics of the proposed approach compare with the conventional eigenvalue-based method.

Original languageEnglish
Pages (from-to)450-452
Number of pages3
JournalAcoustical Science and Technology
Issue number5
Publication statusPublished - 2005
Externally publishedYes


  • Convolutive mixtures
  • Eigenvalue of correlation matrix
  • Independent component analysis

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


Dive into the research topics of 'Estimating the number of sources using independent component analysis'. Together they form a unique fingerprint.

Cite this