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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-00296-0_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00295-3
Online ISBN: 978-3-642-00296-0
eBook Packages: EngineeringEngineering (R0)