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Summary and Perspectives

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

Abstract

This chapter summarizes our work on speech enhancement in the STFT domain and gives some perspectives.

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References

  1. R. Martin, Noise power spectral density estimation based on optimal smoothing and minimum statistics. IEEE Trans. Speech Audio Process. 9, 504–512 (2001)

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  2. I. Cohen, Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging. IEEE Trans. Speech Audio Process. 11, 466–475 (2003)

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  3. R.C. Hendriks, R. Heusdens, J. Jensen, MMSE based noise PSD tracking with low complexity, in Proceedings IEEE ICASSP, (2010), pp. 4266–4269

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  4. M. Souden, J. Chen, J. Benesty, S. Affes, Gaussian model-based multichannel speech presence probability. IEEE Trans. Audio Speech Lang. Process. 18, 1072–1077 (2010)

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  5. M. Souden, J. Chen, J. Benesty, S. Affes, An integrated solution for online multichannel noise tracking and reduction. IEEE Trans. Audio Speech Lang. Process. (2011)

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Correspondence to Jacob Benesty .

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Benesty, J., Chen, J., Habets, E.A.P. (2012). Summary and Perspectives. In: Speech Enhancement in the STFT Domain. SpringerBriefs in Electrical and Computer Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23250-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-23250-3_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23249-7

  • Online ISBN: 978-3-642-23250-3

  • eBook Packages: EngineeringEngineering (R0)

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