Schemes for Evaluating Signal Processing Properties of Audio (original) (raw)
Related papers
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.
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 for Copyrights Protection
2007
Digital watermarking is the process that imperceptibly watermarks the multimedia product with a specific watermark for the purpose of content authentication, data monitoring and tracking, and copyright protection. Amongst the applications, the most prominent usage of watermarking technique is helping in identifying the origins of different multimedia files and resolving ownership disputes. Specifically, the report is concerned with audio watermarking for copyright protection. In the report, issues on audio watermarking for copyright protection are discussed in details. Firstly, introduction to audio watermarking is made in section 1, which is a glance of the state-of-the-arts in audio watermarking technique. Secondly, section 2 describes the principles of Psychoacoustics. Psychology of hearing, especially masking phenomenon, and psychoacoustic model are included. Thirdly, requirements of audio watermarking for copyright protection are stated in section 3, such as imperceptibility, robustness, security, capacity and speed. Actually, these prerequisites are what subjective and objective evaluations rely on. Section 4 is the extension of section 3. In the design of any audio watermarking scheme, robustness is a typical aspect worthy of considerations. So section 4 studies on common signal processing operations and deliberate manipulations, in order to get a better understanding of the mechanisms of various attacks. It is help for performing correct detection. Next, section 5 and 6 give detailed insight into different approaches on audio watermarking and also some supplemental techniques. Each basic system, i.e. LSB modification, phase coding, spread spectrum watermarking, cepstrum domain watermarking, wavelet domain watermarking and echo hiding, is implemented and evaluated, so as to compare their performances and find out their strengths and weaknesses. Based on the studies above, a robust and secured audio watermarking system using Gammatone auditory filterbank, coded image, multiple scrambling and adaptive synchronizing is developed in Section 7. Its embedding and detection methods are expounded and a complete assessment is given. Finally, Section 8 concludes the report and literature cited are listed in the last section.
Audio Digital Watermarking for Copyright Protection
… of International Workshop …, 2002
Abstract. When dealing with copyright protection for audio, watermarking can be considered to label the digital medium, by hiding information into the data. To make the watermark imperceptible and robust against some signal processing, we propose in this paper a new method ...
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).
Concise Review of Digital Audio Watermarking Techniques
Recently, Various techniques have been developed for embedding information in digital audio signal for multimedia applications such as copyright protection, content authentication, broadcast monitoring, etc. This paper deals with the concise review of the various digital audio watermarking techniques for the purpose of copyright protection. The main purpose of this paper is to provide appropriate background to audio watermarking methods including its properties, some aspects of its applications & the analysis of different techniques for developing new digital watermarking techniques for audio. The comparison of different techniques has been done on the basis of signal to noise ratio(SNR),type of watermark used & robustness against common signal processing attacks, such as resampling, low pass filtering, D/A-A/D conversion, requantization, noise addition, etc.
A Novel Audio Watermarking Algorithm for Copyright Protection of Digital Audio
Digital watermark technology is now drawing attention as a new method of protecting digital content from unauthorized copying. This paper presents a novel audio watermarking algorithm to protect against unauthorized copying of digital audio. The proposed watermarking scheme includes a psychoacoustic model of MPEG audio coding to ensure that the watermarking does not affect the quality of the original sound. After embedding the watermark, our scheme extracts copyright information without access to the original signal by using a whitening procedure for linear prediction filtering before correlation. Experimental results show that our watermarking scheme is robust against common signal processing attacks and it introduces no audible distortion after watermark insertion. He has been engaged in the development of multichannel audio codec system, digital broadcast content protection and management. His research interests include digital signal processing in the field of multimedia communications, multimedia systems, and digital content protection and management.
2011
Digital audio watermarking is a technique for embedding additional data along with the audio signal. Embedded data is used for copyright owner identification. Digital audio watermarking techniques include traditional watermarking and zero-watermarking scheme. In this paper, traditional watermarking scheme is compared with zero-watermarking scheme. In traditional watermarking scheme, LSB technique is implemented in wavelet domain. Zero-watermarking scheme is based on steady sign of certain DWT-DCT co-efficients with maximum absolute value. The experimental result shows that the zerowatermarking scheme is more efficient, robust and imperceptible over traditional watermarking scheme. Keywords— Traditional watermarking, LSB technique, zero-watermarking, DWT, DCT.
Secure and robust audio watermarking system for copyright protection
Transform-domain digital audio watermarking has a performance advantage over time-domain watermarking by virtue of the fact that frequency transforms offer better exploitation of the human auditory system (HAS). In this paper, an innovative watermarking scheme for audio signal based on double insertion of the watermark image in DWT-DST domain of the host signal is proposed. Subjective and objective tests reveal that the proposed watermarking scheme maintains high audio quality and is simultaneously highly robust to different attacks, including MP3 compression, lowpass filtering, amplitude scaling, additive Gaussian noise, reacquisition, cropping, sampling, high pass filtering. Comparison of the proposed algorithm with similar techniques such as Cox et al and Dhar et al, shows the superiority of the proposed scheme in term of robustness and imperceptibility.
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.