Application-oriented audio watermark benchmark service (original) (raw)
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Schemes for Evaluating Signal Processing Properties of Audio Watermarking
IJCSNS, 2008
Watermarking audio files has recently become the focus of much attention. This is primarily due to faster data transmission rates on the Internet, which has allowed illegal usage of digital audio files. Watermarking may give recording companies the ability to enforce copyright protection of their products. The requirements of watermarking audio lie in preserving the file quality (imperceptibility) and remain intact after a number of file damaging operations (robustness). The main challenge in digital audio watermarking is to achieve the right tradeoff between the mutually exclusive goals of robustness and high watermark data rate. This paper gives a performance evaluation of popular audio watermarking schemes in prevalence today. A system simulation of selected schemes has been performed in MAT LAB.
A public automated web-based evaluation service for watermarking schemes: StirMark benchmark
Proceedings …, 2001
One of the main problems, which darkens the future of digital watermarking technologies, is the lack of detailed evaluation of existing marking schemes. This lack of benchmarking of current algorithms is blatant and confuses rights holders as well as software and hardware manufacturers and prevents them from using the solution appropriate to their needs. Indeed basing longlived protection schemes on badly tested watermarking technology does not make sense.
IJSRD, 2014
By virtue of the new advancements in computer and telecommunication networks, multimedia files are produced stored and distributed easily across the globe. However, the ownership and copyright of multimedia files are not usually protected. Digital watermarking has been proposed in recent years as a means of protecting multimedia contents from intellectual piracy .A perfect reproduction in digital domain has promoted the protection of intellectual ownership and the prevention of unauthorized tampering of multimedia data to become an important technological and research issue. Digital watermarking has been proposed as a new, alternative method to enforce intellectual property rights and protect digital media from tampering. Digital watermarking is defined as imperceptible, robust and secure communication of data related to the host signal, which includes embedding into and extraction from the host signal. The main challenge in digital audio watermarking is that if the perceptual transparency parameter is fixed, the design of a watermark system cannot obtain high robustness and a high watermark data rate at the same time.
Audio Watermarking: Current State of Art and Future Objectives
International Journal of Digital Content Technology and its Applications, 2011
Revolution in digital multimedia has posted a number of problems related to the ownership of the multimedia & its authentication. The need for copy right protection has given an opportunity for the evolution of watermarking techniques. Digital watermarking is usually used as a tool or as a system which embeds the owner information on to the multimedia content such that whenever there is a dispute, the ownership can be determined. Primarily it is used for content protection, content authentication, content management and temper detection. In this paper we present detailed survey of existing audio watermarking techniques based on the different domains in which secret data is embedded along with the perceptual quality measures, applications and requirements. Future objectives are also discussed.
Comparative Performance Analysis of Audio Watermarking Techniques
—Due to the massive growth in computer technology enormous amount of music files are shared in the internet. The storage devices of music files are also changed from cassette tapes to MP3 players, mobile phones, DVD players. In order to solve problems in searching the needed songs among mass audio information, digital audio watermarking is involved. This is due to the fact that, the human audio system is far more complex and sensitive than the human visual system.In this paper, The conceivable arrangement of above issue is distinctive Audio watermarking Techniques, in the same way as Discrete Fourier Transform system (DFT), Discrete Wavelet Transform strategy (DWT), Discrete Cosine Transform method (DCT), Singular Value Decomposition (S VD).
A Novel Approach to Generate Watermarks for Audio Watermarking
The increasing number of problems related to the ownership protection of the multimedia content & its authentication due to digital revolution had lead to evolution of digital watermarking techniques. Digital watermarking provides a viable solution in minimizing this problem and boosting the confidence among multimedia content i.e. text, image, video, audio providers to make available there content on a public domain. But the watermarks used in most of the watermarking methods are not personalized or unique because of which the problem of ambiguity arises if same watermark is used by two individuals. In this paper we propose a novel method to generate a unique personalized watermark which can act as authenticating information for any watermarking algorithm specially targeting an audio. The watermarks are generated through feature vectors extracted from the speech of an individual which are unique for a particular person. The uniqueness of the watermark is shown through exhaustive experiments.
Robustness Improvement of Digital Audio Watermarking by optimizing.pdf
WSEAS TRANSACTIONS on SYSTEMS and CONTROL , 2017
Flexibility of Internet technology gives rise to concern about the protection of digital data. Digital audio watermarking is the art of hiding important data in Digital Audio. This research paper deals with a new methodology which helps to enhance the robustness of Digital Audio Watermarking technique based on Discrete Wavelet Transform (DWT) and singular value decomposition (SVD). In this approach, multiple watermarks (Image -64 X 64 pixels and text) are embedded into the approximate coefficients of Discrete Wavelet Transform of an audio signal. Haar wavelet is used for decomposition while SVD is applied to get the Eigen values of approximate coefficients of audio signal. Experimental work demonstrate that watermarked audio has same perceptual quality as that of original one. The performance of the proposed work is evaluated with the help of objective measures such as Signal to Noise ratio, Peak signal to Noise ratio, Bit error rate, Normalized Cross correlation, etc. Additionally, simulation results on audio signals prove that the capacity of the proposed scheme is considerably better in comparison with the existing watermarking methods. Furthermore, the proposed work is applied for different audio signals such as classical, instrumental, flute, pop & rock to check the robustness against various attacks.
Analysis of impact of audio modifications on the robustness of watermark for non-blind architecture
Multimedia Tools and Applications, 2013
The aim of this paper is to assess the robustness of the non-blind audio content watermarking scheme proposed by the authors. The authors present the architecture of the designed system along with the employed workflows for embedding and extracting the watermark followed by the implementation phase description and the analysis of the experimental results. Some possible attack simulations on the embedded watermarks are reviewed, and the robustness of the proposed approach is evaluated in the context of the influence of lossy compression on the watermark degradation. Subjective and objective analyses are performed for the algorithm proposed by the authors and compared with the Audio Watermarking Tools (AWT) encoder. Finally, the advantages and drawbacks of the proposed approach are debated followed by the conclusion section outlining possible improvements to the proposed method.
An effective Audio watermarking.pdf
International Journal of Computer Applications, 2013
Audio watermarking has been proved as a powerful tool against illegal manipulation of audio products. It is generally used as a multimedia copyright protection tool. In this paper, we propose an audio watermarking algorithm based on two mathematical functions: Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). These algorithms performance is validated in the presence of the standard watermarking attacks. A new audio signal framing, DWT matrix formation and embedding methods are proposed and successfully implemented to improve the quality of watermarked audio. Natural variability of speech features allows watermarking alterations to be imperceptible to the human observer. On the other hand, significance of these features makes the system robust to common signal processing operations.
A Survey: Digital Audio Watermark Designed Methods
Audio watermarking is becoming a popular method in digital processing because it has the capability to secure the audios by injecting watermarks in them. Audio watermarking is getting to be distinctly a prominent strategy in advanced digital image processing since it has the ability to secure the audios by infusing watermarks in them.This paper is survey on a various watermarking methods.