Abstract
One of the most important schemes in the fundamental topic of speech enhancement is single-channel noise reduction in the time domain since most communication devices have only one microphone and the time-domain processing seems intuitive and natural. This approach has been very well studied in the literature (see [1] for example). In this chapter, we revisit this method from the perspective proposed in Chapter 2.
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References
J. Benesty and J. Chen, Optimal Time-Domain Noise Reduction Filters–A Theoretical Study. Berlin, Germany: SpringerBriefs in Electrical and Computer Engineering, 2011.
J. Benesty, J. Chen, Y. Huang, and I. Cohen, Noise Reduction in Speech Processing. Berlin, Germany: Springer-Verlag, 2009.
“DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus (TIMIT),” from the NIST TIMIT Speech Disc.
K.-F. Lee and H.-W. Hon, “Speaker-independent phone recognition using hidden Markov models,” IEEE Trans. Acoust., Speech, Signal Process., vol. 37, pp. 1641–1648, Nov. 1989.
J. Benesty, J. Chen, and Y. Huang, “On widely linear Wiener and tradeoff filters for noise reduction,” Speech Communication, vol. 52, pp. 427–439, 2010.
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Benesty, J., Chen, J. (2015). Single-Channel Noise Reduction in the Time Domain. 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_3
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DOI: https://doi.org/10.1007/978-3-319-12955-6_3
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