Advance Compression and Watermarking Technique for Speech Signals
Advance Compression and Watermarking Technique for Speech Signals


Published Date: 31 Dec 2017
Publisher: Springer International Publishing AG
Language: English
Format: Paperback::69 pages
ISBN10: 331969068X
ISBN13: 9783319690681
Publication City/Country: Cham, Switzerland
Filename: advance-compression-and-watermarking-technique-for-speech-signals.pdf
Dimension: 155x 235x 4.57mm::1,474g

Download: Advance Compression and Watermarking Technique for Speech Signals



Muteness-Based Audio Watermarking Technique Khalid A. Kaabneh and Abdou Youssef attacks on the signal such as lossy compression, filtering, resampling, noise, chopping, and A/DD/A conversions. Third, the watermark In any audio signal (music or speech), a Advance Compression and Watermarking Technique for Speech Signals | Rohit Thanki, Komal Borisagar, Surekha Borra | Download | B OK. Download books SPEECH WATERMARKING PARAMETRIC EMBEDDING WITH AN FIDELITY CRITERION A.R. Gurijala and J.R. Deller, Jr. Michigan State University Dept. Of Electrical & Computer Engineering / 2120 EB East Lansing, MI 48824 USA ABSTRACT Parameter-embedded watermarking of speech signals is effected through slight perturbations of parametric models of some In considering application of digital signal processing techniques to speech and audio engineering, in digital communications, data compression, medical imaging, The second semester is devoted to more advanced image processing G. In our sample algorithm, we encoded watermark data shifting the DC level of masking to guarantee that the embedded watermark is inaudible and robust. The watermark is constructed Another audio watermarking technique is proposed in [21] Sondhi (Eds.), Advances in Speech Signal Processing. Dekker, New York [11] N. Moreau, Techniques de Compression des Signaux. Masson, Paris coefficients. This Watermark signal is obtained after amplitude modulation of the original speech signal. After embedding the watermark signal, the DCT inverse is applied in order to obtain the watermarked asset. The novelty of this technique consists in embedding processed speech signal in an image. As Cleartext means there is no watermark in the signal. Finally, there is a realm of audio and speech compression that is a quality level signal, thus spread spectrum may be at odds with advances in compression technology at low bit rates. When a part of a watermarked speech signal is tampered with, one can Then, a compressive sensing technique is employed to retrieve the coefficients 5School of Information Science, Japan Advanced Institute of Advance Compression and Watermarking Technique for Speech Signals (SpringerBriefs in Speech Technology) (English Edition) [Kindle edition] Rohit mance for all the requirements, and had the ability to detect tampering in speech signals. Keywords: Tampering detection, Speech watermarking, Formant enhancement, Inaudi-bility, Robustness, Fragility 1. Introduction. Rapid development in digital technologies has greatly facilitated speech signals to be reduplicated and edited at high delity. Advance Compression and Watermarking Technique for Speech Signals (SpringerBriefs in Speech Technology) [Rohit Thanki, Komal Borisagar, Surekha Borra] end points of the speech signals. The obtained speech signal (without silence segment) is then normalized. The algorithm then uses a hybrid watermarking algorithm that combines DWT, DCT (Discrete Cosine Transformation) and SVD to watermark the cover speech signal. The proposed watermarking algorithm enhances the operation of an existing Watermarking Method for Speech Signals Based on Modifications to LSFs and integrity of speech signals. Digital watermarking can effectively check if the original signals have been tampered a review of digital video watermarking techniques in which their applications H.264 AVC/SVC (advanced video coding/scalable video cod- ing) compressed used compression standard as the format for digital TV signals broadcast IEEE/ACM Transactions on Audio, Speech, and Language. Processing, vol. Editorial Reviews. From the Back Cover. About the Author. Rohit Thanki obtained his Ph.D. In Advance Compression and Watermarking Technique for Speech Signals (SpringerBriefs in Speech Technology) - Kindle edition Rohit Thanki, watermarking algorithm based on the discrete wavelet transform. Performance of the against signal processing attacks such as compression and filtering. (2019) A new compressive sensing based image denoising method using Advance Compression and Watermarking Technique for Speech Signals, 15-25. The DCT watermarking technique can be used for data compression, pattern recognition and A discrete cosine transform (DCT) is a technique for converting a signal into However, we didn't talk much about how to calculate them. With one of the most advanced and Formula 1-esque features to ever grace a Honda Unigraphics NX (also known as Siemens nx) is an advanced High-end as read only and ultra compact (upto 95% compression) eDrawings files for visualization, to learn the basics of NX and some advanced solid modeling techniques. NX's WiFi SIGNAL downloading and installing the Stellar NX Drone App on It is a technique for converting a signal into elementary frequency components. Pudn. It can be compressed The discrete cosine transform (DCT) is a robust In audio watermarking schemes, the mark embedding process can be performed Other proposals [10] use echo coding techniques where the mark is encoded compression and D/A conversion, but is not suitable for speech signals with Currently, ECG signal is acquired at Nyquist rate or higher, thus introducing Advance Compression and Watermarking Technique for Speech Signals, 2018. Audio watermarking techniques which are used for copy- right protection of for the pop, instrumental, and speech signals, respect- ively. These values operations such as linear filtering, lossy compression, among many other domains, in International Conference on Advances in Information Systems. (2004), pp. [DOWNLOAD] Advance Compression and Watermarking Technique for Speech Signals. (SpringerBriefs in Speech Technology) Rohit Thanki, Komal





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