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Single-Channel Signal Enhancement in the STFT Domain

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Signal Enhancement with Variable Span Linear Filters

Part of the book series: Springer Topics in Signal Processing ((STSP,volume 7))

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Abstract

In this chapter, we study the signal enhancement problem in the convenient short-time Fourier transform (STFT) domain. Contrary to most conventional approaches, we do not assume here that successive STFT frames are uncorrelated. As a consequence, the interframe correlation is now taken into account and a filter is used in each subband instead of just a gain to enhance the noisy signal. We show how to apply some of the concepts of variable span (VS) linear filtering to this problem.

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References

  1. J. Benesty, J. Chen, Y. Huang, and I. Cohen, Noise Reduction in Speech Processing. Berlin, Germany: Springer-Verlag, 2009

    Google Scholar 

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

    Google Scholar 

  3. J. N. Franklin, Matrix Theory. Englewood Cliffs, NJ: Prentice-Hall, 1968

    Google Scholar 

  4. H.-G. Hirsch, and D. Pearce, “The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions,” in Proc. ISCA Tutorialand Research Workshop ASR2000, 2000

    Google Scholar 

  5. J. S. Sohn, N. S. Kim, and W. Sung, “A statistical model-based voice activity detection,” IEEE Signal Process. Letters, vol. 6, pp. 1–3, Jan. 1999

    Google Scholar 

  6. R. Martin, “Noise power spectral density estimation based on optimal smoothing and minimum statistics,” IEEE Trans. Speech Audio Process., vol. 9, pp. 504–512, Jul. 2001

    Google Scholar 

  7. T. Gerkmann and R. Hendriks, “Unbiased MMSE-based noise power estimation with low complexity and low tracking delay,” IEEE Trans. Audio, Speech, Language Process., vol. 20, pp. 1383–1393, May 2012

    Google Scholar 

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Correspondence to Jacob Benesty .

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© 2016 Springer Science+Business Media Singapore

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Benesty, J., Christensen, M.G., Jensen, J.R. (2016). Single-Channel Signal Enhancement in the STFT Domain. In: Signal Enhancement with Variable Span Linear Filters. Springer Topics in Signal Processing, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-287-739-0_4

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  • DOI: https://doi.org/10.1007/978-981-287-739-0_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-738-3

  • Online ISBN: 978-981-287-739-0

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