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Speech Enhancement from the Fullband Output SNR Perspective

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Fundamentals of Speech Enhancement

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

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Abstract

Most of the speech enhancement algorithms are implemented in the timefrequency domain, i.e., the short-time Fourier transform (STFT) domain. The two main advantages of the STFT are that the algorithms can be implemented very efficiently and the different frequency bins can apparently be manipulated in a very flexible way in order to better compromise between noise reduction and speech distortion. Therefore, it is important to understand how things work from the fullband output SNR perspective and how gains/filters for noise reduction can be improved by fully exploiting all facets of this fundamental measure.

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References

  1. Y. Zhao, J. Benesty, and J. Chen, “Single-channel noise reduction in the STFT domain from the fullband output SNR perspective,” in Proc. EUSIPCO, 2016, pp. 1956–1959.

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  2. J. Benesty, J. Chen, and E. Habets, Speech Enhancement in the STFT Domain. Springer Briefs in Electrical and Computer Engineering, 2011.

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Authors and Affiliations

  1. INRS EMT, Suite 6900, University of Quebec, Montreal, QC, Canada

    Jacob Benesty

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  1. Jacob Benesty
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Correspondence to Jacob Benesty .

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Benesty, J. (2018). Speech Enhancement from the Fullband Output SNR Perspective. In: Fundamentals of Speech Enhancement. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-74524-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-74524-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74523-7

  • Online ISBN: 978-3-319-74524-4

  • eBook Packages: EngineeringEngineering (R0)

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