Performance Evaluation of Digital Audio Watermarking Techniques Designed in Time, Frequency and Cepstrum Domains

2004 ◽  
pp. 430-440 ◽  
Author(s):  
Murat Şehirli ◽  
Fikret Gürgen ◽  
Serhat Ikizoğlu
Keyword(s):  
Performance Evaluation ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Time Frequency ◽  
Digital Audio Watermarking

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.

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.

Three Techniques of Digital Audio Watermarking

2008 ◽  
pp. 104-122 ◽  
Author(s):  
Say Wei Foo
Keyword(s):  
Audio Watermarking ◽  
Extraction Technique ◽  
Blind Watermarking ◽  
Digital Audio ◽  
Original Signal ◽  
Time Frequency ◽  
Digital Audio Watermarking ◽  
Peak Point ◽  
Watermarking Scheme

Based on the requirement of watermark recovery, watermarking techniques may be classified under one of three schemes: non-blind watermarking scheme, blind watermarking schemes with and without synchronization information. For the non-blind watermarking scheme, the original signal is required for extracting the watermark and hence only the owner of the original signal will be able to perform the task. For the blind watermarking schemes, the embedded watermark can be extracted even if the original signal is not readily available. Thus, the owner does not have to keep a copy of the original signal. In this chapter, three audio watermarking techniques are described to illustrate the three different schemes. The time-frequency technique belongs to the non-blind watermarking scheme; the multiple-echo hiding technique and the peak-point extraction technique fall under the blind watermarking schemes with and without synchronization information respectively.

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.

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