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Advance compression and watermarking technique for speech signals / / by Rohit Thanki, Komal Borisagar, Surekha Borra



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Autore: Thanki Rohit Visualizza persona
Titolo: Advance compression and watermarking technique for speech signals / / by Rohit Thanki, Komal Borisagar, Surekha Borra Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XVIII, 69 p. 38 illus., 28 illus. in color.)
Disciplina: 005.82
Soggetto topico: Signal processing
Image processing
Speech processing systems
Computational linguistics
Natural language processing (Computer science)
Database management
Signal, Image and Speech Processing
Computational Linguistics
Natural Language Processing (NLP)
Database Management
Persona (resp. second.): BorisagarKomal
BorraSurekha
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Background Information -- Speech Watermarking Technique using Ridgelet, DWT and SVD -- Speech Compression Technique using CS Theory -- Conclusions -- References.
Sommario/riassunto: 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).
Titolo autorizzato: Advance Compression and Watermarking Technique for Speech Signals  Visualizza cluster
ISBN: 3-319-69069-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299876403321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, . 2191-737X