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Advance Compression and Watermarking...
~
Borra, Surekha.
Advance Compression and Watermarking Technique for Speech Signals
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Advance Compression and Watermarking Technique for Speech Signals/ by Rohit Thanki, Komal Borisagar, Surekha Borra.
作者:
Thanki, Rohit.
其他作者:
Borisagar, Komal.
面頁冊數:
XVIII, 69 p. 38 illus., 28 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Signal processing. -
電子資源:
https://doi.org/10.1007/978-3-319-69069-8
ISBN:
9783319690698
Advance Compression and Watermarking Technique for Speech Signals
Thanki, Rohit.
Advance Compression and Watermarking Technique for Speech Signals
[electronic resource] /by Rohit Thanki, Komal Borisagar, Surekha Borra. - 1st ed. 2018. - XVIII, 69 p. 38 illus., 28 illus. in color.online resource. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,2191-737X. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,.
Introduction -- Background Information -- Speech Watermarking Technique using Ridgelet, DWT and SVD -- Speech Compression Technique using CS Theory -- Conclusions -- References.
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).
ISBN: 9783319690698
Standard No.: 10.1007/978-3-319-69069-8doiSubjects--Topical Terms:
561459
Signal processing.
LC Class. No.: TK5102.9
Dewey Class. No.: 621.382
Advance Compression and Watermarking Technique for Speech Signals
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