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010   $a3-319-69069-8
024 7 $a10.1007/978-3-319-69069-8
035   $a(CKB)4100000001039688
035   $a(DE-He213)978-3-319-69069-8
035   $a(MiAaPQ)EBC5123082
035   $a(PPN)221252800
035   $a(EXLCZ)994100000001039688
100   $a20171103d2018      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvance compression and watermarking technique for speech signals /$fby Rohit Thanki, Komal Borisagar, Surekha Borra
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XVIII, 69 p. 38 illus., 28 illus. in color.)
225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
311 08$a3-319-69068-X 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Background Information -- Speech Watermarking Technique using Ridgelet, DWT and SVD -- Speech Compression Technique using CS Theory -- Conclusions -- References.
330   $aThis book introduces methods for copyright protection and compression for speech signals. The first method introduces copyright protection of speech signal using watermarking; the second introduces compression of the speech signal using Compressive Sensing (CS). Both methods are tested and analyzed. The speech watermarking method uses technology such as Finite Ridgelet Transform (FRT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). The performance of the method is evaluated and compared with existing watermarking methods. In the speech compression method, the standard Compressive Sensing (CS) process is used for compression of the speech signal. The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT).
410  0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aComputational linguistics
606   $aNatural language processing (Computer science)
606   $aDatabase management
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aComputational linguistics.
615  0$aNatural language processing (Computer science)
615  0$aDatabase management.
615 14$aSignal, Image and Speech Processing.
615 24$aComputational Linguistics.
615 24$aNatural Language Processing (NLP).
615 24$aDatabase Management.
676   $a005.82
700   $aThanki$b Rohit$4aut$4http://id.loc.gov/vocabulary/relators/aut$0878537
702   $aBorisagar$b Komal$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBorra$b Surekha$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299876403321
996   $aAdvance Compression and Watermarking Technique for Speech Signals$92544407
997   $aUNINA