Introduction to Digital Audio Watermarking

2008 ◽  
pp. 1-10 ◽  
Author(s):  
Nedeljko Cvejic ◽  
Tapio Seppänen
Keyword(s):  
Signal Processing ◽  
Digital Watermarking ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Bit Rate ◽  
Digital Audio Watermarking ◽  
General Overview ◽  
Essential Properties ◽  
Common Signal

This chapter gives a general overview of the audio watermarking fundamental definitions. Audio watermarking algorithms are characterized by five essential properties, namely: perceptual transparency, watermark bit rate, robustness, blind/informed watermark detection and security. Chapter also reviews the most common signal processing manipulations that are frequently applied to the watermarked audio in order to prevent detection of the embedded watermark. Finally, several application areas for digital audio watermarking are presented and advantages of digital watermarking over standard technologies examined.

Digital Audio Watermarking

2005 ◽  
pp. 126-156
Author(s):  
Changsheng Xu ◽  
Qi Tian
Keyword(s):  
Performance Evaluation ◽  
Auditory System ◽  
Digital Watermarking ◽  
Research Area ◽  
Audio Watermarking ◽  
Current Status ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Big Picture ◽  
Comprehensive Survey

This chapter provides a comprehensive survey and summary of the technical achievements in the research area of digital audio watermarking. In order to give a big picture of the current status of this area, this chapter covers the research aspects of performance evaluation for audio watermarking, human auditory system, digital watermarking for PCM audio, digital watermarking for wav-table synthesis audio, and digital watermarking for compressed audio. Based on the current technology used in digital audio watermarking and the demand from real-world applications, future promising directions are identified.

scholarly journals Different Types of Attacks and Performance Evaluation Factors in Digital Audio Watermarking

2019 ◽  
pp. 754-762
Author(s):  
Krunalkumar N. Patel
Keyword(s):  
Digital Watermarking ◽  
Frequency Component ◽  
Audio Watermarking ◽  
Digital Information ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Digital World ◽  
Reduced Frequency ◽  
Different Types ◽  
And Performance

The 21st century is the digital world, the utilization of digital information like multimedia that contains image, audio and video is massively expanding because of the progression in innovation and web transformation. With this headway to achieve the one's proprietorship and copyrights for this advanced information is the greatest test. Digital watermarking is one of the procedures to accomplish one's proprietorship and copyrights with safely and securely. Digital watermarking is the strategy in which the proprietor's copyright data can be installed into the original media either as an image, audio or video. There are two fundamental components we have to consider for this digital audio watermarking to get the high robustness and also imperceptibility against the piracy, malevolent assaults, and different kind of transformation attacks. Despite the fact that there are numerous difficulties to accomplish these outcomes, in this paper, our proposed audio watermarking system is utilized to enhance the robustness, reliability and imperceptibility of the embedded data with security. For Security, in our proposed work we are utilizing DSSS encryption algorithm and some vital transformation techniques utilized that are DWT (Discreet Wavelet Transformation) up to 4-level to get most reduced frequency sub-band and after that DFT(Discrete Fourier Transform) is applied to get least frequency component from sub-band found by DWT in which the alterations are done and after that SVD (Singular esteem Decomposition)is used to it, so unique audio document does not have any effect of watermark bits to improve robustness and imperceptibility. This algorithm is implemented in MATLAB software that is used for numerical computation and data analysis. The GUI is presented in this paper for audio watermarking with different calculations.

Time-Frequency Analysis of Digital Audio Watermarking

2008 ◽  
pp. 187-204 ◽  
Author(s):  
Sridhar Krishnan ◽  
Behnaz Ghoraani
Keyword(s):  
Digital Rights Management ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Audio Signals ◽  
Time Frequency ◽  
Digital Multimedia ◽  
Digital Audio Watermarking ◽  
Data Authentication ◽  
Common Signal

In this book chapter, we present an overview of our time-frequency (TF) based audio watermarking methods. First, a motivation on the necessity of data authentication, and an introduction in Digital Rights Management (DRM) to protect digital multimedia contents is presented. TF techniques provide flexible means to analyze non-stationary audio signals. We have explained the joint TF domain for watermark representation, and have employed pattern recognition schemes for watermark detection. In this chapter; we introduce two watermarking methods; embedding non-linear and linear TF signatures as watermarking signatures. Robustness of the proposed methods against common signal manipulations is also studied in this chapter.

scholarly journals Development of Algorithm for Audio Watermarking Embedding and Decoding using Patchwork Method under Attacks

2020 ◽  
Vol 9 (3) ◽  
pp. 3289-3294
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Discrete Cosine Transforms ◽  
Digital Multimedia ◽  
Digital Audio Watermarking ◽  
Secured Data ◽  
Number Of Segments ◽  
Made In

To protect digital multimedia content from unauthorized reproduction, digital audio watermarking played crucial role. Audio watermarking for the patchwork method has a relatively good level of perception quality.The challengesbetween security, robustness, and imperceptibility is contemporary area of researchand remains relevant issues. This paper introduces discrete cosine transforms (DCT)-based audio watermarking process using the patchwork method for conventional and advanced signal processing attacks. In the first stage of the watermarking audio signal is divided into an equal number of segments and its sub-segments, and then its coefficients are computed. After eliminating high-frequency related coefficients, remaining coefficients are used to form frame pairs of equal length. Watermarks are embedded in a frame using specific criteria and secured data key.The adjustments are made in such a way that the identification ofWatermarked pairs of DCT frames is done in the decoding process by applying the selection criteria used during the embedding process. From watermarked frames, watermark data is extracted by using a secure data key. The proposed audio watermarking algorithm is implemented and tested under conventional and advance signal processing attacks for robustness, imperceptibility, security, and data payload.

Audio Watermarking

2010 ◽  
pp. 127-143 ◽  
Author(s):  
Dejan Drajic ◽  
Nedeljko Cvejic
Keyword(s):  
State Of The Art ◽  
The State ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Bit Rate ◽  
Malicious Attacks ◽  
Comprehensive List ◽  
Digital Audio Watermarking

In this chapter, the authors recapitulate the background and the state-of-the-art of digital audio watermarking, including descriptions of audio watermarking algorithms and malicious attacks against these algorithms. The areas in which audio watermarking has been implemented and the possible future applications are outlined. The three requirements of the “magic triangle” in audio watermarking are described as well, with characterized by a number of defining properties, including robustness, watermark bit rate and perceptual transparency. The chapter also provides a comprehensive list of attacks used by adversaries to interfere with the embedded watermark and to prevent its detection.

Digital Audio Watermarking

2008 ◽  
pp. 109-128
Author(s):  
Changsheng Xu ◽  
Qi Tian
Keyword(s):  
Performance Evaluation ◽  
Auditory System ◽  
Digital Watermarking ◽  
Research Area ◽  
Audio Watermarking ◽  
Current Status ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Big Picture ◽  
Comprehensive Survey

This chapter provides a comprehensive survey and summary of the technical achievements in the research area of digital audio watermarking. In order to give a big picture of the current status of this area, this chapter covers the research aspects of performance evaluation for audio watermarking, human auditory system, digital watermarking for PCM audio, digital watermarking for wav-table synthesis audio, and digital watermarking for compressed audio. Based on the current technology used in digital audio watermarking and the demand from real-world applications, future promising directions are identified.

scholarly journals PERBANDINGAN METODE LOW BIT CODINGDENGAN PHASE CODING PADA DIGITAL AUDIO WATERMARKING

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Zulfikar Sembiring
Keyword(s):  
Digital Watermarking ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Phase Coding ◽  
Digital Audio Watermarking

<p>Penggunaan file audio sebagai media distribusi informasi digital sangat populer sekarang ini karena semakin canggihnya perangkat keras maupun perangkat lunak yang dapat mengolah file audio digital tersebut. Ditambah lagi dengan semakin mudahnya akses internet dimana saja baik melalui perangkat mobile ataupun tidak. Karena semakin banyaknya penggunaan file audio digital oleh perorangan atau perusahaan misalnya dalam produksi musik, atau video klip maka semakin sulit untuk menentukan keaslian suatu file audio digital dan sulitnya mencegah tingkat tindak pencurian atau pembajakan yang sangat merugikan pihak pememilik hak cipta. Ada beberapa metode dalam menentukan keaslian file audio digital dan mencegah tindak pembajakan terhadap media digital, yaitu digital watermarking. Pada jurnal ini akan dibahas dua buah metode watermarking yaitu metode low bit coding dan phase coding. Tujuannya ialah untuk mengetahui beberapa kelebihan dan kekurangan dalam penerapannya kedalam file audio digital. Karena ada beberapa aspek yang harus diketahui dalam menentukan baik atau tidaknya tingkat pengamanan pada file audio digital. Sehingga kita dapat menentukan metode yang mana yang pantas digunakan dalam menentukan keaslian file audio digital dalam mencegah tindak pencurian atau pembajakan.</p><strong>Kata kunci :</strong>audio, watermarking, low bit coding, phase coding

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