Advance Compression and Watermarking Technique for Speech Signals

This 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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Thanki, Rohit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Borisagar, Komal (http://id.loc.gov/vocabulary/relators/aut), Borra, Surekha (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Thanki, Rohit.  |e author.  |0 (orcid)0000-0002-0645-6266  |1 https://orcid.org/0000-0002-0645-6266  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Advance Compression and Watermarking Technique for Speech Signals  |h [electronic resource] /  |c by Rohit Thanki, Komal Borisagar, Surekha Borra. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XVIII, 69 p. 38 illus., 28 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,  |x 2191-737X 
505 0 |a Introduction -- Background Information -- Speech Watermarking Technique using Ridgelet, DWT and SVD -- Speech Compression Technique using CS Theory -- Conclusions -- References. 
520 |a This 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). 
650 0 |a Signal processing. 
650 0 |a Image processing. 
650 0 |a Speech processing systems. 
650 0 |a Computational linguistics. 
650 0 |a Natural language processing (Computer science). 
650 0 |a Database management. 
650 1 4 |a Signal, Image and Speech Processing.  |0 http://scigraph.springernature.com/things/product-market-codes/T24051 
650 2 4 |a Computational Linguistics.  |0 http://scigraph.springernature.com/things/product-market-codes/N22000 
650 2 4 |a Natural Language Processing (NLP).  |0 http://scigraph.springernature.com/things/product-market-codes/I21040 
650 2 4 |a Database Management.  |0 http://scigraph.springernature.com/things/product-market-codes/I18024 
700 1 |a Borisagar, Komal.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Borra, Surekha.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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