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Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix

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Independent Component Analysis and Signal Separation (ICA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5441))

Abstract

We consider a method for solving the permutation problem in blind source separation (BSS) by the frequency-domain independent component analysis (FD-ICA) by using phase linearity of FD-ICA demixing matrix. However, there is still remaining issue how we can estimate the phase linearity. In this paper, we propose two methods to estimate the linearity of the phase response of the FD-ICA demixing matrix. Our experimental result shows that our new methods can provide better estimation of the phase linearity than our previous method.

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References

  1. Smaragdis, P.: Blind separation of convolved mixtures in the frequency domain. Neurocomputing 22, 21–34 (1998)

    Article  MATH  Google Scholar 

  2. Kurita, S., et al.: Evaluation of blind signal separation method using directivity pattern under reverberant conditions. In: Proc. ICASSP 2000, vol. 5, pp. 3140–3143 (2000)

    Google Scholar 

  3. Sawada, H., et al.: A robust and precise method for solving the permutation problem of frequency-domain blind source separation. IEEE Transaction. Speech and Audio Proc. 12, 530–538 (2004)

    Article  Google Scholar 

  4. Sawada, H., et al.: Grouping separated frequency components by estimating propagation model parameters in frequency-domain blind source separation. IEEE Trans. Audio, Speech, and Language Proc. 15, 1592–1604 (2007)

    Article  Google Scholar 

  5. Vincent, E., et al.: Performance measurement in blind audio source separation. IEEE Trans. on Audio, Speech and Language Proc. 14, 1462–1469 (2006)

    Article  Google Scholar 

  6. Nesta, F., et al.: A Novel Robust Solution to the Permutation Problem Based on a Joint Multiple TDOA Estimation. In: Proc. IWAENC 2008, paper ID 9023 (2008)

    Google Scholar 

  7. Toyama, K., et al.: Using phase linearity to tackle the permutation problem in audio source separation. In: Proc. IWAENC 2008, paper ID 9040 (2008)

    Google Scholar 

  8. Toyama, K., et al.: Solving the permutation problem using phase linearity and frequency correlation. In: Proc. ICArn International Workshop 2008, pp. 48–51 (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Sony Corporation, 1-7-1 Konan, Minato-ku, Tokyo, 108-0075, Japan

    Keisuke Toyama

  2. Center for Digital Music, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom

    Keisuke Toyama & Mark D. Plumbley

Authors
  1. Keisuke Toyama
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  2. Mark D. Plumbley
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Electrical Engineering, ITE 324, University of Maryland, Baltimore County, 1000 Hilltop Circle, MD 21250, Baltimore, USA

    Tülay Adali

  2. Domaine Universitaire, GIPSA-lab, BP 46, 38402, Saint Martin d’Hères Cedex, France

    Christian Jutten

  3. Departamento de Microonda e Óptica (DMO), FEEC / Unicamp, Avenida Albert Einstein 400, 13083-852, Campinas, Sao Paulo, Brazil

    João Marcos Travassos Romano

  4. Centro Tecnológico, Curso de Engenharia Elétrica, Universidade Federal do Maranhão, Avenida dos Portugueses, s/n, Bacanga, 65080-040, São Luís, MA, Brazil

    Allan Kardec Barros

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© 2009 Springer-Verlag Berlin Heidelberg

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Toyama, K., Plumbley, M.D. (2009). Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_46

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  • DOI: https://doi.org/10.1007/978-3-642-00599-2_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00598-5

  • Online ISBN: 978-3-642-00599-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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