Phonetics and Speech Sciences (말소리와 음성과학)

Korean Society of Speech Sciences (한국음성학회)
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Post-Processing of IVA-Based 2-Channel Blind Source Separation for Solving the Frequency Bin Permutation Problem

IVA 기반의 2채널 암묵적신호분리에서 주파수빈 뒤섞임 문제 해결을 위한 후처리 과정

  • Received : 2013.11.02
  • Accepted : 2013.12.15
  • Published : 2013.12.31
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Abstract

The IVA(Independent Vector Analysis) is a well-known FD-ICA method used to solve the frequency permutation problem. It generally works quite well for blind source separation problems, but still needs some improvements in the frequency bin permutation problem. This paper proposes a post-processing method which can improve the source separation performance with the IVA by fixing the remaining frequency permutation problem. The proposed method makes use of the correlation coefficient of power ratio between frequency bins for separated signals with the IVA-based 2-channel source separation. Experimental results verified that the proposed method could fix the remaining frequency permutation problem in the IVA and improve the speech quality of the separated signals.

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References

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Cited by

  1. Frequency Bin Alignment Using Covariance of Power Ratio of Separated Signals in Multi-channel FD-ICA vol.6, pp.3, 2014, https://doi.org/10.13064/KSSS.2014.6.3.149
  2. A Blind Source Separation Method Based on Independent Vector Analysis for Separation of Speech Signal and Noise Signal vol.16, pp.10, 2018, https://doi.org/10.14801/jkiit.2018.16.10.69