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Dual Particle-Number RBPF for Speech Enhancement

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Innovative Computing Technology (INCT 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 241))

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Abstract

In this paper, we propose a new single channel dual particle-number Rao-Blackwellized particle filter (RBPF). Additive noise i.e. white and color noises corrupt speech signal and degrade its intelligibility and quality. Quality measurement scores are ITU-T P.862.1 (PESQ), also computation cost in implementation are important. Particular emphasis is placed on the removal of colored noise, such as industrial noise. At first describe some of the similar method such as Kalman filter and particle filter. The simulation results show that the proposed method provides a significant gain in ITU-T P.862.1 score. Taking measure to reduce computational complexity by separating silent-speech and assign different particle number to each type of frames.

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Author information

Authors and Affiliations

  1. Shahed University, Tehran, Iran

    Seyed Farid Mousavipour & Saeed Seyedtabaii

Authors
  1. Seyed Farid Mousavipour
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  2. Saeed Seyedtabaii
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Editor information

Editors and Affiliations

  1. Al Imam University, Riyadh, Saudi Arabia

    Pit Pichappan

  2. University of Tehran, Iran

    Hojat Ahmadi

  3. London Metropolitan University, United Kingdom

    Ezendu Ariwa

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© 2011 Springer-Verlag Berlin Heidelberg

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Mousavipour, S.F., Seyedtabaii, S. (2011). Dual Particle-Number RBPF for Speech Enhancement. In: Pichappan, P., Ahmadi, H., Ariwa, E. (eds) Innovative Computing Technology. INCT 2011. Communications in Computer and Information Science, vol 241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27337-7_29

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  • DOI: https://doi.org/10.1007/978-3-642-27337-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27336-0

  • Online ISBN: 978-3-642-27337-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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