LEADER 04380nam  22007215  450 
001 9910337648003321
005 20200706042029.0
010   $a3-319-96821-1
024 7 $a10.1007/978-3-319-96821-6
035   $a(CKB)4100000007142769
035   $a(MiAaPQ)EBC5598952
035   $a(DE-He213)978-3-319-96821-6
035   $a(PPN)232473641
035   $a(EXLCZ)994100000007142769
100   $a20181115d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSpeech Enhancement Techniques for Digital Hearing Aids /$fby Komal R. Borisagar, Rohit M. Thanki, Bhavin S. Sedani
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (162 pages)
311   $a3-319-96820-3 
327   $aIntroduction -- Generation of Speech Signal and its Characteristics -- Information of Adaptive Filters and Noises -- Information of Wavelet Transforms -- Speech Signal Enhancement using Adaptive Filters -- Speech Signal Enhancement using Adaptive Filters and Wavelet Transforms -- Future Research Direction -- Conclusion.
330   $aThis book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm used for this purpose is also provided. Different types of adaptive filters such as Least Mean Squares (LMS), Normalized LMS (NLMS) and Recursive Lease Squares (RLS) are described for noise reduction in the speech signals. Different types of noises are taken to generate noisy speech signals, and therefore information on various noises signals is provided. The comparative performance of various adaptive filters for noise reduction in speech signals is also described. In addition, the book provides a speech enhancement technique using adaptive filtering and necessary frequency strength enhancement using wavelet transform as per the requirement of audiogram for digital hearing aids. Presents speech enhancement techniques for improving performance of digital hearing aids; Covers various types of adaptive filters and their advantages and limitations; Provides a hybrid speech enhancement technique using wavelet transform and adaptive filters.
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aBiomedical engineering
606   $aOptical data processing
606   $aSystem safety
606   $aComputer security
606   $aBiometry
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aSecurity Science and Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/P31080
606   $aSystems and Data Security$3https://scigraph.springernature.com/ontologies/product-market-codes/I28060
606   $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aBiomedical engineering.
615  0$aOptical data processing.
615  0$aSystem safety.
615  0$aComputer security.
615  0$aBiometry.
615 14$aSignal, Image and Speech Processing.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aImage Processing and Computer Vision.
615 24$aSecurity Science and Technology.
615 24$aSystems and Data Security.
615 24$aBiometrics.
676   $a617.89
700   $aBorisagar$b Komal R$4aut$4http://id.loc.gov/vocabulary/relators/aut$0897266
702   $aThanki$b Rohit M$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSedani$b Bhavin S$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337648003321
996   $aSpeech Enhancement Techniques for Digital Hearing Aids$92004591
997   $aUNINA