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Noise Suppression Method Based on Modulation Spectrum Analysis

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Speech and Computer (SPECOM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11096))

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Abstract

Conventional methods for noise suppression can successfully reduce stationary noise. However, non-stationary noise such as intermittent and impulsive noise cannot be sufficiently suppressed since these methods do not focus on temporal features of noise. This paper proposes a method for suppressing both stationary and non-stationary noise based on modulation spectrum analysis. Modulation spectra (MS) of the stationary, intermittent, and impulsive noise were investigated by using the time/frequency/modulation analysis techniques to characterize the MS features. These features were then used to suppress the stationary and non-stationary noise components from the observed signals. Using the proposed method, the direct-current components of the MS in the stationary noise, harmonicity of the MS in the intermittent noise, and higher modulation-frequency components of the MS in the impulsive noise were removed. The following advantages of the proposed method were confirmed: (1) sound pressure level of the noise was dramatically reduced, (2) signal-to-noise ratio of the noisy speech was improved, and (3) loudness, sharpness, and roughness of the restored speech were enhanced. These results indicate that the stationary as well as non-stationary noise can be successfully suppressed using the proposed method.

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Acknowledgments

This work was supported by the Secom Science and Technology Foundation by the Suzuki Foundation, and by a Grant in Aid for Innovative Areas (No. 16H01669, and 18H05004) from MEXT, Japan.

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Authors and Affiliations

  1. Japan Advanced Institute of Science and Technology, 1–1 Asahidai, Nomi, Ishikawa, 923–1292, Japan

    Takuto Isoyama & Masashi Unoki

Authors
  1. Takuto Isoyama
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  2. Masashi Unoki
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Corresponding authors

Correspondence to Takuto Isoyama or Masashi Unoki .

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Editors and Affiliations

  1. SPIIRAS, St. Petersburg, Russia

    Alexey Karpov

  2. Leipzig University of Telecommunications, Leipzig, Germany

    Oliver Jokisch

  3. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

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Isoyama, T., Unoki, M. (2018). Noise Suppression Method Based on Modulation Spectrum Analysis. In: Karpov, A., Jokisch, O., Potapova, R. (eds) Speech and Computer. SPECOM 2018. Lecture Notes in Computer Science(), vol 11096. Springer, Cham. https://doi.org/10.1007/978-3-319-99579-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-99579-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99578-6

  • Online ISBN: 978-3-319-99579-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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