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Optimal Filters in the Frequency Domain

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Noise Reduction in Speech Processing

Part of the book series: Springer Topics in Signal Processing ((STSP,volume 2))

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We now investigate the design of noise reduction filters in the frequency domain, which is an alternative to the time-domain approach studied in the previous chapter. In the real world, frequency-domain filters are, by far, the most popular methods. This is mainly because: 1) the filters at different frequencies (or frequency bands) are designed and handled independently with each other, therefore there is a significant flexibility in dealing with colored noise; 2) most of our knowledge and understanding of speech production and perception is related to frequencies; and 3) thanks to the fast Fourier transform (FFT), the implementation of frequency-domain filters are generally very efficient. So, in this chapter, we develop some widely used classical frequency-domain filters and discuss their properties.

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Correspondence to Jacob Benesty .

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© 2009 Springer-Verlag Berlin Heidelberg

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Benesty, J., Chen, J., Huang, Y., Cohen, I. (2009). Optimal Filters in the Frequency Domain. In: Noise Reduction in Speech Processing. Springer Topics in Signal Processing, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00296-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-00296-0_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00295-3

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