Abstract
This chapter focuses on the theory and implementation of (Hayes in Statistical digital signal processing and modeling, Wiley, 1996; Hadei 2010) adaptive noise cancellation (ANC) method for dual-channel speech enhancement. Existing gradient-based approaches for adaptive filtering in speech enhancement are explained in detail. This chapter discusses about the limitations of the gradient-based algorithms for IIR filters. It also presents the advantages of the heuristic optimization technique. The organization of the chapter is as follows. Section 2.1 explains the concepts of ANC. Section 2.2 briefly reviews the different gradient-based algorithms that are proposed to speech enhancement. Section 2.3 discusses about how the heuristic optimization methods are advantageous over gradient-based approaches for ANC.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Antoniou A (1993) Digital filters: analysis, design, and applications. McGraw-Hill, New York, NY. ISBN:0-07-002117-1
Blackmore KL, Williamson RC, Mareels IMY, Sethares WA (1997) Online learning via congregational gradient descent. Math Control Sig Syst 10:331–363
Diniz PSR (2002) Adaptive filtering: algorithms and practical implementation, 2nd edn. Kluwer Academic Publisher, Norwell, MA
Fan H, Jenkins WK (1986) A new adaptive IIR filter. IEEE Trans Circ Syst CAS-33(10):939–947
Goodwin G, Sin K (1985) Adaptive filtering prediction and control. Englewood Cliffs, Prentice-Hall, NJ
Hayes MH (1996) Statistical digital signal processing and modeling. Wiley. ISBN:0-471-59431-8
Haykin S (2001) Adaptive filter theory, 4th edn. Prentice Hall
Ho KC, Chan YT (1995) Bias removal in equation-error adaptive IIR filters. IEEE Trans Sig Proc 43(1)
Kim HN, Song WJ (1999) Unbiased equation-error adaptive IIR filtering based on monic normalization. IEEE Sig Proc Lett 6(2)
Mitra SK, Kaiser J (1993) Handbook for digital signal processing. Wiley
Plackett RL (1950) Some theorems in least squares. Biometrika 37:149–157. ISSN 00063444
Treichler JR, Johnson CR, Larimore MG (1987) Theory and design of adaptive filters. Wiley
Widrow B, Stearns S (1985) Adaptive signal processing. Prentice Hall, Englewood Cliffs, NJ
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 The Author(s)
About this chapter
Cite this chapter
Kunche, P., Reddy, K.V.V.S. (2016). Adaptive Noise Cancellation to Speech Enhancement. In: Metaheuristic Applications to Speech Enhancement. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-31683-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-31683-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31681-9
Online ISBN: 978-3-319-31683-3
eBook Packages: EngineeringEngineering (R0)