Frequency Domain Independent Component Analysis Without Permutation and Scale Indeterminacy

  • Ishibashi Takaaki
    Department of Information, Communication and Electronic Engineering, Kumamoto National College of Technology
  • Inoue Katsuhiro
    School of Computer Science and Systems Engineering, Kyushu Institute of Technology
  • Gotanda Hiromu
    Faculity of Humanity-Oriented Science and Engineering, Kinki University
  • Kumamaru Kousuke
    School of Computer Science and Systems Engineering, Kyushu Institute of Technology

抄録

Under multi-source and multi-microphone configurations, it is clarified that the decomposed spectrum is uniquely expressed in terms of the product of a source and its transfer function to the corresponding microphone. We propose a new method for solving the permutation problem inherent in FDICA (frequency domain independent component analysis) by utilizing prior information about the relative position of sound sources. The proposed method can also solve the channel selection problem for the target sound estimation, which is critical to a practical application of FDICA. The proposed methods have been verified by several experiments in a real environment.

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