Abstract
In this chapter, a conceptual framework for noise reduction is proposed. This new formulation gives a better insight into this fundamental problem. Within this framework, we define all important performance measures and criteria that will be of great help in the derivation of the most well-known estimators. Some key discussions concern also the definitions of speech intelligibility and speech quality that will be used in the rest of this work.
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References
J. Benesty, J. Chen, Y. Huang, and I. Cohen, Noise Reduction in Speech Processing. Berlin, Germany: Springer-Verlag, 2009.
P. Vary and R. Martin, Digital Speech Transmission: Enhancement, Coding and Error Concealment. Chichester, England: John Wiley & Sons Ltd, 2006.
P. Loizou, Speech Enhancement: Theory and Practice. Boca Raton, FL: CRC Press, 2007.
N. Wiener, Extrapolation, Interpolation, and Smoothing of Stationary Time Series. New York: John Wiley & Sons, 1949.
J. Benesty, J. Chen, Y. Huang, and S. Doclo, “Study of the Wiener filter for noise reduction,” in Speech Enhancement, J. Benesty, S. Makino, and J. Chen, Eds., Berlin, Germany: Springer-Verlag, 2005, Chapter 2, pp. 9–41.
J. Chen, J. Benesty, Y. Huang, and S. Doclo, “New insights into the noise reduction Wiener filter,” IEEE Trans. Audio, Speech, Language Process., vol. 14, pp. 1218–1234, July 2006.
J. Capon, “High resolution frequency-wavenumber spectrum analysis,” Proc. IEEE, vol. 57, pp. 1408–1418, Aug. 1969.
R. T. Lacoss, “Data adaptive spectral analysis methods,” Geophysics, vol. 36, pp. 661–675, Aug. 1971.
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Benesty, J., Chen, J. (2015). Conceptual Framework. In: A Conceptual Framework for Noise Reduction. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-12955-6_2
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DOI: https://doi.org/10.1007/978-3-319-12955-6_2
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